Journal articles: 'Collision avoidance system'

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patil, Shreya. "Train Collision Avoidance System." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (October 31, 2016): 82–85. http://dx.doi.org/10.9756/bijsesc.8248.

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Lin, Jun Ting, Xiao Ming Wang, and Jian Wu Dang. "A New Collision Avoidance Strategy for Chinese Train Control System." Applied Mechanics and Materials 614 (September 2014): 179–83. http://dx.doi.org/10.4028/www.scientific.net/amm.614.179.

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There are still enormous amount of collision between trains even if comprehensive and complex technology, such as train control system, is extensively deployed in the infrastructure which should help to avoid such collisions. Experiences from aviation, maritime, and road transport systems have shown that the probability of collisions can be significantly reduced with collision avoidance systems basing on direct vehicle-to-vehicle communication on-board, which do hardly require infrastructure components. Additional Collision Avoidance System overlay Train Control System (CASOTCS) for Chinese railway, which is independent of the regular control mechanism, is provided in this paper. CASOTCS unit architecture and its key issues: position detection, direct train-to-train communication and collision surveillance resolution are also discussed. CASOTCS receives and evaluates the information broadcasted by other infinity trains, if a potential collision is detected, lead to collision alerts and avoidance resolution advisories. CASOTCS has the potential to increase safety and efficiency in the future, such as shorten the distance between trains.

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Wu, Xiaolie, Kezhong Liu, Jinfen Zhang, Zhitao Yuan, Jiongjiong Liu, and Qing Yu. "An Optimized Collision Avoidance Decision-Making System for Autonomous Ships under Human-Machine Cooperation Situations." Journal of Advanced Transportation 2021 (August 27, 2021): 1–17. http://dx.doi.org/10.1155/2021/7537825.

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Maritime Autonomous Surface Ships (MASSs) are attracting increasing attention in recent years as it brings new opportunities for water transportation. Previous studies aim to propose fully autonomous system on collision avoidance decisions and operations, either focus on supporting conflict detection or providing with collision avoidance decisions. However, the human-machine cooperation is essential in practice at the first stage of automation. An optimized collision avoidance decision-making system is proposed in this paper, which involves risk appetite (RA) as the orientation. The RA oriented collision avoidance decision-making system (RA-CADMS) is developed based on human-machine interaction during ship collision avoidance, while being consistent with the International Regulations for Preventing Collisions at Sea (COLREGS) and Ordinary Practice of Seamen (OPS). It facilitates automatic collision avoidance and safeguards the MASS remote control. Moreover, the proposed RA-CADMS are used in several encounter situations to demonstrate the preference. The results show that the RA-CADMS is capable of providing accurate collision avoidance decisions, while ensuring efficiency of MASS maneuvering under different RA.

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Chen, C. W., P. H. Hsieh, and W. H. Lai. "APPLICATION OF DECISION TREE ON COLLISION AVOIDANCE SYSTEM DESIGN AND VERIFICATION FOR QUADCOPTER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6 (August 23, 2017): 71–75. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-71-2017.

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The purpose of the research is to build a collision avoidance system with decision tree algorithm used for quadcopters. While the ultrasonic range finder judges the distance is in collision avoidance interval, the access will be replaced from operator to the system to control the altitude of the UAV. According to the former experiences on operating quadcopters, we can obtain the appropriate pitch angle. The UAS implement the following three motions to avoid collisions. Case1: initial slow avoidance stage, Case2: slow avoidance stage and Case3: Rapid avoidance stage. Then the training data of collision avoidance test will be transmitted to the ground station via wireless transmission module to further analysis. The entire decision tree algorithm of collision avoidance system, transmission data, and ground station have been verified in some flight tests. In the flight test, the quadcopter can implement avoidance motion in real-time and move away from obstacles steadily. In the avoidance area, the authority of the collision avoidance system is higher than the operator and implements the avoidance process. The quadcopter can successfully fly away from the obstacles in 1.92 meter per second and the minimum distance between the quadcopter and the obstacle is 1.05 meters.

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Petković, Miro, Danko Kezić, Igor Vujović, and Ivan Pavić. "Target Detection For Visual Collision Avoidance System." Pedagogika-Pedagogy 93, no. 7s (August 31, 2021): 159–66. http://dx.doi.org/10.53656/ped21-7s.14targ.

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Automatic Identification Systems (AIS) and Automatic Radar Plotting Aids (ARPA) are commonly used to detect targets for collision avoidance. However, AIS cannot detect targets without AIS transmitters and ARPA has limitations due to blind sector and small targets may not be detected. Advances in computer performance and video-based detection generated much interest in developing intelligent video surveillance systems to achieve autonomous navigation. To develop a reliable collision avoidance system, we propose the use of a visual camera for real-time object detection and target tracking. Moreover, the system should follow the International Regulations for Preventing Collisions at Sea (COLREGs) to avoid catastrophic accidents. In this paper only a part of the system is presented. For real-time object detection, the You Only Look Once (YOLO) ver. 3 convolutional neural network is used, and the target tracking filter based on a Kalman filter with built-in estimated relative position and velocity.

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Hashim, Fakroul Ridzuan. "Decentralized 3D Collision Avoidance System for Unmanned Aerial Vehicle (UAV)." Journal of Advanced Research in Dynamical and Control Systems 12, no. 7 (July 20, 2020): 446–60. http://dx.doi.org/10.5373/jardcs/v12i7/20202025.

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Deshmukh, Anurag K. "Collision Avoidance System for Motorcycles." International Journal for Research in Applied Science and Engineering Technology 7, no. 2 (February 28, 2019): 1015–16. http://dx.doi.org/10.22214/ijraset.2019.2159.

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Christen, Frederic, Lutz Eckstein, Alexander Katriniok, and Dirk Abel. "Satellite-Based Collision Avoidance System." ATZelektronik worldwide 8, no. 1 (February 2013): 52–57. http://dx.doi.org/10.1365/s38314-013-0149-y.

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Kurain, Nami Susan, Poojasree S, and Priyadharrshini S. "Wildlife Vehicle Collision Avoidance System." International Journal of Electronics and Communication Engineering 5, no. 3 (March 25, 2018): 14–17. http://dx.doi.org/10.14445/23488549/ijece-v5i3p104.

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Kirchner, Alexander, Klaus Krüger, Frank Mildner, and Rolf Schmidt. "An advanced collision avoidance system." ATZ worldwide 107, no. 1 (January 2005): 20–23. http://dx.doi.org/10.1007/bf03224713.

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Sabattini, Lorenzo, Cristian Secchi, and Cesare Fantuzzi. "Collision avoidance for multiple Lagrangian dynamical systems with gyroscopic forces." International Journal of Advanced Robotic Systems 14, no. 1 (January 1, 2017): 172988141668710. http://dx.doi.org/10.1177/1729881416687109.

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This article introduces a novel methodology for dealing with collision avoidance for groups of mobile robots. In particular, full dynamics are considered, since each robot is modeled as a Lagrangian dynamical system moving in a three-dimensional environment. Gyroscopic forces are utilized for defining the collision avoidance control strategy: This kind of forces leads to avoiding collisions, without interfering with the convergence properties of the multi-robot system’s desired control law. Collision avoidance introduces, in fact, a perturbation on the nominal behavior of the system: We define a method for choosing the direction of the gyroscopic force in an optimal manner, in such a way that perturbation is minimized. Collision avoidance and convergence properties are analytically demonstrated, and simulation results are provided for validation purpose.

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Suzuki, Keisuke, Hitoshi Tanaka, Yoshiki Miichi, and Masami Aga. "Collision-mitigation level of collision-avoidance braking system." International Journal of Vehicle Safety 7, no. 1 (2014): 1. http://dx.doi.org/10.1504/ijvs.2014.058238.

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Huang, Yamin, Linying Chen, Rudy R. Negenborn, and P. H. A. J. M. van Gelder. "A ship collision avoidance system for human-machine cooperation during collision avoidance." Ocean Engineering 217 (December 2020): 107913. http://dx.doi.org/10.1016/j.oceaneng.2020.107913.

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Tsou, Ming-Cheng, Sheng-Long Kao, and Chien-Min Su. "Decision Support from Genetic Algorithms for Ship Collision Avoidance Route Planning and Alerts." Journal of Navigation 63, no. 1 (December 1, 2009): 167–82. http://dx.doi.org/10.1017/s037346330999021x.

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When an officer of the watch (OOW) faces complicated marine traffic, a suitable decision support tool could be employed in support of collision avoidance decisions, to reduce the burden and greatly improve the safety of marine traffic. Decisions on routes to avoid collisions could also consider economy as well as safety. Through simulating the biological evolution model, this research adopts the genetic algorithm used in artificial intelligence to find a theoretically safety-critical recommendation for the shortest route of collision avoidance from an economic viewpoint, combining the international regulations for preventing collisions at sea (COLREGS) and the safety domain of a ship. Based on this recommendation, an optimal safe avoidance turning angle, navigation restoration time and navigational restoration angle will also be provided. A Geographic Information System (GIS) will be used as the platform for display and operation. In order to achieve advance notice of alerts and due preparation for collision avoidance, a Vessel Traffic Services (VTS) operator and the OOW can use this system as a reference to assess collision avoidance at present location.

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Tang, Jun, Miquel Angel Piera, Yunxiang Ling, and Linjun Fan. "Extended Traffic Alert Information to Improve TCAS Performance by means of Causal Models." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/303768.

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Near-midair collisions (NMACs) between aircraft have long been a primary safety concern and have incessantly motivated the development of ingenious onboard collision avoidance (CA) systems to reduce collision risk. The Traffic Alert and Collision Avoidance System (TCAS) acts as a proverbially accepted last-resort means to resolve encounters, while it also has been proved to potentially induce a collision in the hectic and congested traffic. This paper aims to improve the TCAS collision avoidance performance by enriching traffic alert information, which strictly fits with present TCAS technological requirements and extends the threat detection considering induced collisions and probabilistic pilot response. The proposed model is specified in coloured Petri net (CPN) formalism, to generate by simulation all the future possible downstream reachable states to enhance the follow-up decision making of pilots via synthesising relevant information related to collision states. With the complete state space, the potential collision scenarios can be identified together with those manoeuvres that may transform a conflict into a collision. The causal TCAS model is demonstrated to work effectively for complex multiaircraft scenarios and to identify the feasible manoeuvres that contribute to reduce the nonzero TCAS-induced collision risk.

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Sun, Shunkai, Jianping Hu, Jie Li, Ruidong Liu, Meng Shu, and Yang Yang. "An INS-UWB Based Collision Avoidance System for AGV." Algorithms 12, no. 2 (February 18, 2019): 40. http://dx.doi.org/10.3390/a12020040.

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As a highly automated carrying vehicle, an automated guided vehicle (AGV) has been widely applied in various industrial areas. The collision avoidance of AGV is always a problem in factories. Current solutions such as inertial and laser guiding have low flexibility and high environmental requirements. An INS (inertial navigation system)-UWB (ultra-wide band) based AGV collision avoidance system is introduced to improve the safety and flexibility of AGV in factories. An electronic map of the factory is established and the UWB anchor nodes are deployed in order to realize an accurate positioning. The extended Kalman filter (EKF) scheme that combines UWB with INS data is used to improve the localization accuracy. The current location of AGV and its motion state data are used to predict its next position, decrease the effect of control delay of AGV and avoid collisions among AGVs. Finally, experiments are given to show that the EKF scheme can get accurate position estimation and the collisions among AGVs can be detected and avoided in time.

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Poppeová, Viera, Juraj Uríček, Vladimír Bulej, and Peter Havlas. "Design of ANTI-Collision System for Robotics." Applied Mechanics and Materials 325-326 (June 2013): 1071–75. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.1071.

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This paper deals with the solving of collision detection in area of robotics. Collisions in robotics can cause damaging of robotic device, manipulated objects or in the worst case also the death of human. This is the reason why collision detection and collision avoidance is very important task and nowadays also the modern research is focused on finding of appropriate solving methods and tools. In the paper is described the theoretical introduction, practical solution and also real application.

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NOMIYAMA, Ryusuke, Yoshitaka MARUMO, and Hitoshi TSUNASHIMA. "1206 Collision Avoidance System for Motorcycles : Design of Collision Avoidance System Using Model Predictive Control." Proceedings of the Transportation and Logistics Conference 2010.19 (2010): 133–36. http://dx.doi.org/10.1299/jsmetld.2010.19.133.

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Cheng, Zhiyou, Yaling Li, and Bing Wu. "Early Warning Method and Model of Inland Ship Collision Risk Based on Coordinated Collision-Avoidance Actions." Journal of Advanced Transportation 2020 (July 20, 2020): 1–14. http://dx.doi.org/10.1155/2020/5271794.

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To reduce the occurrence of ship collisions, immediate danger, and close-quarters situations in narrow inland waterways, a step-by-step early warning system for ship collision-avoidance actions was developed, along with an early warning method and model of collision risk based on coordinated collision-avoidance actions. This study first analyzed the importance of coordinated collision-avoidance actions in inland waterways, and the process and key components of coordinated collision-avoidance actions were studied. Then, the early warning method of inland ship collision risk based on coordinated collision-avoidance actions was introduced; the effectiveness of the early warning method was comparatively analyzed via experimental observations. A framework of early warning model of inland ship collision risk was created based on the early warning method; a collision risk early warning model for inland ships based on coordinated collision-avoidance actions was proposed according to the relationship between the distance/time to the closest point of approach (DCPA, TCPA), coordination degree of collision-avoidance actions of the two considered ships and collision risk; moreover, the early warning model of inland ship collision risk was further considered for quantitative calculation. Finally, the application of the early warning method and model was demonstrated using a case study. The results indicate that the early warning method of inland ship collision risk based on coordinated collision-avoidance actions could effectively reduce the emergence of close-quarters situations and immediate danger, and the early warning model could quantitatively show the evolution of collision risk of two ships along with the process of coordinated collision-avoidance actions.

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Hou, Yew Cheong, Khairul Salleh Mohamed Sahari, Leong Yeng Weng, Hong Kah Foo, Nur Aira Abd Rahman, Nurul Anis Atikah, and Raad Z. Homod. "Development of collision avoidance system for multiple autonomous mobile robots." International Journal of Advanced Robotic Systems 17, no. 4 (July 1, 2020): 172988142092396. http://dx.doi.org/10.1177/1729881420923967.

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This article presents a collision avoidance system for multiple robots based on the current autonomous car collision avoidance system. The purpose of the system is to improve the current autonomous car collision avoidance system by including data input of other vehicles’ velocity and positioning via vehicle-to-vehicle communication into the current autonomous car collision avoidance system. There are two TurtleBots used in experimental testing. TurtleBot is used as the robot agent while Google Lightweight Communication and Marshalling is used for inter-robot communication. Additionally, Gazebo software is used to run the simulation. There are two types of collision avoidance system algorithm (collision avoidance system without inter-robot communication and collision avoidance system with inter-robot communication) that are developed and tested in two main road crash scenarios, rear end collision scenario and junction crossing intersection collision scenario. Both algorithms are tested and run both in simulation and experiment setup, each with 10 repetitions for Lead TurtleBot sudden stop, Lead TurtleBot decelerate, Lead TurtleBot slower speed, and straight crossing path conditions. Simulation and experimental results data for each algorithm are recorded and tabulated. A comprehensive comparison of performance between the proposed algorithms is analyzed. The results showed that the proposed system is able to prevent collision between vehicles with an acceptable success rate.

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Xu, Qingyang, and Ning Wang. "A Survey on Ship Collision Risk Evaluation." PROMET - Traffic&Transportation 26, no. 6 (December 30, 2014): 475–86. http://dx.doi.org/10.7307/ptt.v26i6.1386.

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Recently, ship collision avoidance has become essential due to the emergence of special vessels like chemical tankers and VLCCs (very large crude carriers), etc. The information needed for safe navigation is obtained by combining electrical equipment with real-time visual information. However, misjudgements and human errors are the major cause of ship collisions according to research data. The decision support system of Collision avoidance is an advantageous facility to make up for this. Collision risk evaluation is one of the most important problems in collision avoidance decision supporting system. A review is presented of different approaches to evaluate the collision risk in maritime transportation. In such a context, the basic concepts and definitions of collision risk and their evaluation are described. The review focuses on three categories of numerical models of collision risk calculation: methods based on traffic flow theory, ship domain and methods based on dCPA and tCPA.

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Priohutomo, Kusnindar, Agus Achmad Masroeri, and Chandra Permana. "Maneuver Control System for Collision Avoidance Based On Experimental Study." EPI International Journal of Engineering 1, no. 2 (November 20, 2018): 65–69. http://dx.doi.org/10.25042/epi-ije.082018.10.

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Autopilot mode in the ship navigation system is intended to assist the work of the captain in controlling the ship, but the autopilot mode still has some disadvantages such as in the case of maneuvers to avoid collisions. Many studies on design of anti-collision design. But almost all use a numerical approach. In this paper will be discussed the design of maneuver controls that will be used on the ship model to avoid the ship from the collision. Where within the control system there are several sensors, including ultrasonic sensors, gyro sensors and Qualysis cameras. From ship model testing conducted, the design of maneuver control proved able to avoid the ship from the occurrence of collisions. Minimum distance of ship and obstacle at 250 m distance is 34,17 m, at a distance of 200 m is 13,46 m while at a distance of 150 m is 13,36 m.

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Abdulhamid, Mohanad, and Otieno Amondi. "Collision Avoidance System Using Ultrasonic Sensor." Land Forces Academy Review 25, no. 3 (September 1, 2020): 259–66. http://dx.doi.org/10.2478/raft-2020-0031.

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AbstractThis paper describes automobile collision avoidance system by using of an ultrasonic sensor for a vehicle. We utilize the electronic systems application embedded in car that is anticipated to minimize the disaster of car accident. This paper is concentrating on developing a model of rear end car collision avoidance system that detects the gap among motors moving in the identical lane, inside the identical direction and alert the driver each time she or he is in danger range by using a microcontroller. The gap is measured via an ultrasonic sensor used to experience the obstacle beforehand.

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Lee, S. W., B. H. Lee, and K. D. Lee. "A configuration space approach to collision avoidance of a two-robot system." Robotica 17, no. 2 (March 1999): 131–41. http://dx.doi.org/10.1017/s0263574799001113.

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This paper suggests an efficient approach to collision avoidance of a practical two-robot system. The approach is based on the C-space of one robot, and we consider only two and three dimensional C-space in which nearly all industrial manipulators can be reasonably represented for collision avoidance problems. The C-space of one robot is discretized with the concentric circles or spheres centered at the goal configuration. We then introduce the concept of free arc which is a set of the candidate configuration points on the concentric circle or sphere at each sampling time to avoid collisions. It is represented simply with respect to the coordinate frame attached to the goal configuration. The free arc is used as a tool for collision avoidance of a two-robot system and sub-optimality can be considered in determining a collision-free path. The main contribution of this paper is that it provides a method to construct C-obstacles in a time-varying environment more efficiently than the existing methods (e.g. slice projection method1) by restricting the search space at the expense of sacrificing completeness. Thus, it enables us to implement a practical collision avoidance algorithm for a two-robot system with decreased computational cost. Simulation results for two 2-d.o.f. manipulators and two PUMA robots are presented to show the efficacy of the proposed method.

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Ford CEng MRAeS, Terry. "Traffic Alert and Collision Avoidance System." Aircraft Engineering and Aerospace Technology 62, no. 4 (April 1990): 21–23. http://dx.doi.org/10.1108/eb036922.

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Grinyak, V. M., and A. S. Devyatisil’nyi. "Fuzzy collision avoidance system for ships." Journal of Computer and Systems Sciences International 55, no. 2 (March 2016): 249–59. http://dx.doi.org/10.1134/s106423071601007x.

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Vanualailai, Jito, Bibhya Sharma, and Shin-ichi Nakagiri. "An asymptotically stable collision-avoidance system." International Journal of Non-Linear Mechanics 43, no. 9 (November 2008): 925–32. http://dx.doi.org/10.1016/j.ijnonlinmec.2008.06.012.

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Jamlos, Mohd Aminudin, Jegan Moorali, Wan Azani Wan Mustafa, and Syed Zulkarnain Syed Idrus. "AUTOMOTIVE COLLISION AVOIDANCE SYSTEM (ACAS) APPLICATION." Journal of Physics: Conference Series 1874, no. 1 (May 1, 2021): 012037. http://dx.doi.org/10.1088/1742-6596/1874/1/012037.

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Chen, Shuo, Ji Ming Yu, and Yan Liu. "The Design and Simulation of Collision Avoidance System Based on Dual-Mode Collaborative." Advanced Materials Research 936 (June 2014): 2352–57. http://dx.doi.org/10.4028/www.scientific.net/amr.936.2352.

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This article establish a model to give a detailed analysis of road vehicle collision avoidance systems according to the angle between vehicle and obstacle, and raise a vehicle collision avoidance detecting mechanism based on location mapping and distance detecting; furthermore, The authors combined this mechanism and BP artificial neural network to establish a new vehicle collision avoidance systems which is based on the collaboration between precise distance angle model and BP artificial neural network. We called this mechanism as BP artificial neural network vehicle collision avoidance model, the abbreviation is BP collision model. The convergence simulation of such model present that this model can resolve problem of collision avoidance and plan driving Path very well.

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Eskandarian, Azim, and Ce Zhang. "A Brain Wave-Verified Driver Alert System for Vehicle Collision Avoidance." SAE International Journal of Transportation Safety 9, no. 1 (June 18, 2021): 105–22. http://dx.doi.org/10.4271/09-09-01-0002.

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Collision alert and avoidance systems (CAS) could help to minimize driver errors. They are instrumental as an advanced driver-assistance system (ADAS) when the vehicle is facing potential hazards. Developing effective ADAS/CAS, which provides alerts to the driver, requires a fundamental understanding of human sensory perception and response capabilities. This research explores the premise that external stimulation can effectively improve drivers’ reaction and response capabilities. Therefore this article proposes a light-emitting diode (LED)-based driver warning system to prevent potential collisions while evaluating novel signal processing algorithms to explore the correlation between driver brain signals and external visual stimulation. When the vehicle approaches emerging obstacles or potential hazards, an LED light box flashes to warn the driver through visual stimulation to avoid the collision through braking. Thirty (30) subjects completed a driving simulator experiment under different near-collision scenarios. The Steady-State Visually Evoked Potentials (SSVEP) of the drivers’ brain signals and their collision mitigation (control performance) data were analyzed to evaluate the LED warning system’s effectiveness. The results show that (1) The proposed modified canonical correlation analysis evaluation (CCA-EVA) algorithm can detect SSVEP responses with 4.68% higher accuracy than the Adaptive Kalman filter; (2) The proposed driver monitoring and alert system produce on average a 52% improvement in time to collision (TTC), 54% improvement in reaction distance (RD), and an overall 26% reduction in collision rate as compared to similar tests without the LED warning.

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Afaghani, Ahmad Yasser, and Yasumichi Aiyama. "On-Line Collision Avoidance of Two Command-Based Industrial Robotic Arms Using Advanced Collision Map." Journal of Robotics and Mechatronics 26, no. 3 (June 20, 2014): 321–30. http://dx.doi.org/10.20965/jrm.2014.p0321.

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<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00260003/05.jpg"" width=""300"" /> Collision check of robots</span></div> This research aims to build a system for detecting and avoiding collisions between two industrial robotic arms that are controlled using point-to-point commands in on-line mode. Both robots have no prior knowledge of the commands which will be sent after starting the system. For this purpose, a collision map method has been improved to detect potential collisions between the robots and represent them as a collision area on the map. Commonly, industrial robotic arms have a cylindrical or a near-rectangular shape. The links of the robots have been approximated geometrically by using the swept sphere volume which presents tight modelling. Moreover, it is extremely easy to check for collisions and, therefore, feasible for on-line applications. To produce a collision-free trajectory for the robot, scheduling of the command execution time is necessary to avoid any collision areas on the map. The system has been tested on an OpenGLbased simulator to demonstrate the effectiveness of the system. </span>

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Coenen, F. P., G. P. Smeaton, and A. G. Bole. "Knowledge-based Collision Avoidance." Journal of Navigation 42, no. 1 (January 1989): 107–16. http://dx.doi.org/10.1017/s0373463300015125.

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Raksincharoensak, Pongsathorn, and Yuta Akamatsu. "Development of Collision Avoidance System in Right Turn Maneuver Using Vehicle-in-the-Loop Simulation." Journal of Robotics and Mechatronics 27, no. 6 (December 18, 2015): 627–35. http://dx.doi.org/10.20965/jrm.2015.p0627.

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<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270006/04.jpg"" width=""300"" /> Right turn collision avoidance</div>Collisions in Japan between vehicles during right turns account for a high number of other intersection accidents. We present collision avoidance that introduces speed control assistance combined with autonomous emergency braking when vehicles approach and a collision becomes imminent. Our proposal uses on-board sensors such as radar and cameras to handle situations without depending on X2X communication and infrastructure. We also propose a speed control algorithm. A “vehicle-in-the-loop test” involving a virtual test drive for rapid system development verifies the effectiveness of our proposals.

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M. Keong, L., A. S. Jamaludin, M. N. M. Razali, A. N. S. Z. Abidin, and M. R. M. Yasin. "Modelling of PID Speed Control Based Collision Avoidance System." Journal of Modern Manufacturing Systems and Technology 4, no. 2 (September 30, 2020): 66–72. http://dx.doi.org/10.15282/jmmst.v4i2.5182.

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Nowadays, the vehicle’s accident occurring rate is high in Malaysia especially during the period of festival celebrations. Thus, it is necessary to develop a low cost and high effectiveness collision avoidance system that is affordable for every vehicles. Therefore, this research focus on to design and model a collision avoidance system that can slow down when approaching obstacles. The effectiveness of this collision avoidance system is evaluated based on its effectiveness of slowing down when it is approaching obstacles as well as when there is sudden obstacles appear in front of it. In this research, the collision avoidance system will be tested on a modelling car that is built with robot car chassis. The Arduino Nano is the controller for this system while there are ultrasonic sensor and encoder sensors to detect the obstacle distance and speed of the wheel respectively. The Arduino board will be programmed with PID control algorithm to allow the modelling car to slow down when approaching obstacle and stop before colliding with the obstacles. According to the result obtained, the most suitable PID constants for this collision avoidance system is Kp = 0.7, Ki = 0.7 and Kd = 0.07. The collision avoidance system is sensitive to sudden obstacle as it can stop the modelling car in just 0.3 second when the sensor detect sudden obstacle. To conclude, this collision avoidance system can slow down and prevent the modelling car crashing to the front obstacle while ensuring the safety and comfortable of the passengers.

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Perkins, Chris, and Tony Redfern. "Requirements for Coordination and the Application of an Automatic Collision Avoidance System." Journal of Navigation 49, no. 2 (May 1996): 129–35. http://dx.doi.org/10.1017/s0373463300013217.

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This paper is concerned with the legislative change which would have to take place if an automatic collision avoidance system were to be implemented.The principle of complementary action, and the role of coordination in achieving that action is considered. Current collision avoidance practice is discussed, noting the coordination attributes of the International Regulations for the Prevention of Collision at Sea, and the responsibility placed on the mariner by the regulations. The processing element of an automatic collision avoidance system is considered in the light of current judicial practice.The paper concludes that the implementation of an automatic collision avoidance system is incompatible with the current collision regulations and the supporting judiciary. It is suggested that successful implementation will require the recognition of a discrete rule base.

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Okuno, Hirotsugu, and Tetsuya Yagi. "Bio-Inspired Real-Time Robot Vision for Collision Avoidance." Journal of Robotics and Mechatronics 20, no. 1 (February 20, 2008): 68–74. http://dx.doi.org/10.20965/jrm.2008.p0068.

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A mixed analog-digital integrated vision sensor was designed to detect an approaching object in real-time. To respond selectively to approaching stimuli, the sensor employed an algorithm inspired by the visual nervous system of a locust, which can avoid collisions robustly by using visual information. An electronic circuit model was designed to mimic the architecture of the locust nervous system. Computer simulations showed that the model provided appropriate responses for collision avoidance. We implemented the model with a compact hardware system consisting of a silicon retina and field-programmable gate array (FPGA) circuits; the system was confirmed to respond selectively to approaching stimuli that constituted a collision threat.

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Nakamura, Shinya, Naoki Okada, Satoru Kuwahara, Koji Kutsuna, Takuya Nakashima, and Hideyuki Ando. "Study on Automatic Collision Avoidance System and Method for Evaluating Collision Avoidance Manoeuvring Results." Journal of Physics: Conference Series 1357 (October 2019): 012033. http://dx.doi.org/10.1088/1742-6596/1357/1/012033.

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Wang, Pangwei, WenXiang Wu, Xiaohui Deng, Lin Xiao, Li Wang, and Min Li. "Novel Cooperative Collision Avoidance Model for Connected Vehicles." Transportation Research Record: Journal of the Transportation Research Board 2645, no. 1 (January 2017): 144–56. http://dx.doi.org/10.3141/2645-16.

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Connected vehicle technology exchanges real-time vehicle and traffic information through vehicle-to-vehicle and vehicle-to-infrastructure communication. The technology has the potential to improve traffic safety applications such as collision avoidance. In this paper, a novel cooperative collision avoidance (CCA) model that could improve the effectiveness of the collision avoidance system of connected vehicles was developed. Unlike traditional collision avoidance models, which relied mainly on emergency braking, the proposed CCA approach avoided collision through a combination of following vehicle deceleration and leading vehicle acceleration. Through spacing policy theory and nonlinear optimization, the model calculated the desired deceleration rate for the following vehicle and the acceleration rate for the leading vehicle, respectively, at each time interval. The CCA approach was then tested on a scaled platform with hardware-in-the-loop simulation embedded with MATLAB/Simulink and a car simulator package, CarSim. Results show that the proposed model can effectively avoid rear-end collisions in a three-vehicle platoon.

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Wu, Xingwei, Linda Ng Boyle, and Dawn Marshall. "Drivers’ Avoidance Strategies When Using a Forward Collision Warning (FCW) System." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1939–43. http://dx.doi.org/10.1177/1541931213601964.

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Forward collision warning (FCW) systems help prevent rear-end collisions by identifying and alerting drivers of threats ahead. Understanding drivers’ avoidance strategies i.e. the tendency to brake or steer is important for the design and effectiveness of these systems. A driving simulator study was performed across five US locations to examine three driver avoidance maneuvers: braking only, steering only and combined braking and steering. A log-linear analysis was used to investigate the likelihood of an avoidance maneuver given the driver characteristics (age, gender) and study location. Findings showed that drivers aged 40 years and older were more likely to use a combined braking and steering maneuver to avoid a rearend collision. Drivers from two coastal urban areas (Washington, D.C. and Seattle, WA) were less likely to choose braking only in response to FCW alerts. Younger drivers and drivers that live in more rural areas (Clemson, SC and Iowa City, IA) were more likely to select braking only to avoid a crash, which could be due to their experience in less congested traffic environment. The findings of this study provide some insights on the factors associated with various avoidance strategies among drivers. This understanding can help guide the design of future in-vehicle collision warning systems.

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Batayneh, Wafa, Omar Al-Araidah, Khaled Bataineh, and Adnan Al-Ghasem. "Fuzzy-Based Adaptive Cruise Controller with Collision Avoidance and Warning System." Mechanical Engineering Research 3, no. 1 (May 2, 2013): 143. http://dx.doi.org/10.5539/mer.v3n1p143.

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The paper presents a Fuzzy-based adaptive cruise control system with collision avoidance and collision warning (ACC/CA/CW). The proposed control scheme aims to improve driver's comfort while keeping him/her safe by avoiding possible collisions. Depending on inputs from both the driver and the installed sensors, the controller accelerates/decelerates the vehicle to keep its speed at the desired limit. In case of a possible collision, the controller decelerates (accelerates) the vehicle to prevent possible crash with the vehicle ahead (behind). Moreover, the controller issues visual and/or audio alerts for the driver in order to warn him/her in case of the need for applying an uncomfortable deceleration level and/or to warn the driver for risky situations where he/she might need to change the lane. Simulation results illustrate the robustness of the proposed system over various ranges of inputs.

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Lin, Xiaohan, Xiaoping Shi, and Shilun Li. "Optimal cooperative control for formation flying spacecraft with collision avoidance." Science Progress 103, no. 1 (October 30, 2019): 003685041988443. http://dx.doi.org/10.1177/0036850419884432.

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This article investigates optimal cooperative control algorithms for spacecraft formation flying system that can guarantee collision avoidance between spacecrafts. By selecting potential functions to avoid collisions and constructing index cost functions to describe optimal control, the optimal control algorithms based on the state-dependent Riccati equations, which only require local information vectors, are presented that can guarantee the formation spacecraft to track the reference trajectory without collisions and achieve optimal performance states. Finally, the corresponding proof analysis by Lyapunov stability theory shows that the closed-loop system for spacecraft formation flying is asymptotically stable. The simulation results demonstrate the effectiveness of the proposed optimal cooperative control algorithms with desired control objectives, including trajectory tracking, formation optimality, and collision avoidance.

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Zhang, Xinyu, Chengbo Wang, Kwok Tai Chui, and (Ryan) Wen Liu. "A Real-Time Collision Avoidance Framework of MASS Based on B-Spline and Optimal Decoupling Control." Sensors 21, no. 14 (July 19, 2021): 4911. http://dx.doi.org/10.3390/s21144911.

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Real-time collision-avoidance navigation of autonomous ships is required by many application scenarios, such as carriage of goods by sea, search, and rescue. The collision avoidance algorithm is the core of autonomous navigation for Maritime autonomous surface ships (MASS). In order to realize real-time and free-collision under the condition of multi-ship encounter in an uncertain environment, a real-time collision avoidance framework is proposed using B-spline and optimal decoupling control. This framework takes advantage to handle the uncertain environment with limited sensing MASS which plans dynamically feasible, highly reliable, and safe feasible collision avoidance. First, owing to the collision risk assessment, a B-spline-based collision avoidance trajectory search (BCATS) algorithm is proposed to generate free-collision trajectories effectively. Second, a waypoint-based collision avoidance trajectory optimization is proposed with the path-speed decoupling control. Two benefits, a reduction of control cost and an improvement in the smoothness of the collision avoidance trajectory, are delivered. Finally, we conducted an experiment using the Electronic Chart System (ECS). The results reveal the robustness and real-time collision avoidance trajectory planned by the proposed collision avoidance system.

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Zhang, Yong Yong. "Improved Auto Brake and Avoidance." Advanced Materials Research 912-914 (April 2014): 700–702. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.700.

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Abstract: Aiming at the shortage of "ultrasonic ranging vehicle anti-collision alarm system design" , because the anti collision system just avoid having collision in front of the car, without considering the back of the car, in order to avoid hitting the car before and after ,so according to the above problem ,we improve the system.

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Tan, Chee Yong, Sunan Huang, Kok Kiong Tan, Rodney Swee Huat Teo, Wen Qi Liu, and Feng Lin. "Collision Avoidance Design on Unmanned Aerial Vehicle in 3D Space." Unmanned Systems 06, no. 04 (October 2018): 277–95. http://dx.doi.org/10.1142/s2301385018500115.

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Collision avoidance is one of the core problems in designing a multi-unmanned aerial vehicle (UAV) system. It is to ensure each UAV can reach its target without colliding with any moving or static obstacles. With increasing usage of UAVs in many application areas, research on collision avoidance algorithm has become a hot topic. Several approaches on collision avoidance have been reported. In this paper, we design a three-dimensional collision avoidance on multi-UAV systems based on the original three-dimensional velocity obstacle method.

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Hwang, Cheng-Neng. "The Integrated Design of Fuzzy Collision-Avoidance and H∞-Autopilots on Ships." Journal of Navigation 55, no. 1 (January 2002): 117–36. http://dx.doi.org/10.1017/s0373463301001631.

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Collision avoidance remains the most important concern for ships at sea. Despite the electronic equipment now fitted on ships to support the mariner, expert experience is still essential when a ship is in danger of colliding with the others. To include these experts' experiences to resolve the problems of collision, we have designed a fuzzy collision-avoidance expert system that includes a knowledge base to store facts and rules, an inference engine to simulate experts' decisions and a fuzzy interface device. Either a quartermaster or an autopilot system can then implement the avoidance action proposed in the research. To perform the task of collision-avoidance effectively, a robust autopilot system using the state space H∞ control methodology has been designed to steer a ship safely for various conditions at sea in performing course keeping, course-changing and route-tracking more robustly. The integration of fuzzy collision-avoidance and H∞autopilot systems is then proposed in this paper.

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García, S. E., E. Slawiñski, V. Mut, and F. Penizzotto. "Collision avoidance method for multi-operator multi-robot teleoperation system." Robotica 36, no. 1 (April 3, 2017): 78–95. http://dx.doi.org/10.1017/s0263574717000169.

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SUMMARYThis paper proposes a collision avoidance method for the teleoperation of multiple non-holonomic mobile robots from multiple users. Each human operator drives a mobile robot, where each one performs an independent task in a common workspace. To avoid collisions, the proposed method only acts on the speed of the mobile robots; therefore, the human operator can freely drive the robot over the path he chooses to. The developed analysis allows us to assure that a solution is always achieved. Finally, the results of the experiments are shown, in order to test the performance of the proposed control scheme.

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Chen, Dong Xue, Lei He, Chang Fu Zong, Hong Yu Zheng, and Zheng Tang Shi. "Study on Modeling and Simulation of Vehicle Safety Distance in Low Speed for Rear-end Collision Avoidance." Advanced Materials Research 694-697 (May 2013): 3375–80. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3375.

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Rear-end collisions of low speed vehicles on the urban road are common accident scenarios. A judgment of safety distance is a crucial part of a rear-end collision avoidance system which relies on safety distance model. In order to solve the problems of traditional safety distance models, this paper proposes a new model to avoid rear-end collisions. The new model considers the braking performance of the host vehicle and the motion state of the heading vehicle. Then a rear-end collision avoidance system including the new model is established using a combination of CarSim with Simulink software. Three typical working conditions through the co-simulation is simulated for verifying the model. Simulation results show that the new model ensures rear-end collision can be avoided, meanwhile keeping a short relative distance that improves road efficiency.

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Ge, Jing, Chao Jiang, Guo Jun Yu, Bo Su, and Tiger Sun. "Preparation and Research on a Kind of Magnetorheological Grease Materiel Used Anti-Collision System." Materials Science Forum 893 (March 2017): 395–99. http://dx.doi.org/10.4028/www.scientific.net/msf.893.395.

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Bridge pier collision avoidance system is a hot research topic. As the representative of the intelligent material, the Magnetorheological Grease has become one of the main research directions in the research of bridge pier collision due to its special mechanical properties and rheological properties. In this work, we present a bridge pier collision avoidance system using Magnetorheological Grease Material. Firstly, according to the characteristics of bridge pier collision, a series of Magnetorheological Grease Material are configured, and then the collision avoidance structure of the actual size of the bridge pier is given. The structure can be directly applied to the bridge pier collision avoidance. Secondly the experimental characteristics of the Magnetorheological Grease Material are given, and the experimental results are analyzed. The strong theoretical guidance and engineering basis were provided for the related scientific and technical workers and researchers.

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Gai, Wendong, Ning Zhang, Jing Zhang, and Yuxia Li. "A constant guidance law-based collision avoidance for unmanned aerial vehicles." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 4 (January 9, 2018): 1204–16. http://dx.doi.org/10.1177/0954410017751325.

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A method of automatic collision avoidance based on constant guidance law is proposed to solve the problem that the collision avoidance time is difficult to be estimated accurately during the collision avoidance process. The guidance command of the collision avoidance method is constant, and the lower bound of the constant guidance command satisfying the safe collision avoidance requirement is given by geometric method. Then, a collision avoidance time estimation method based on particle swarm optimization is proposed. In addition, the attitude control loop adopts the nonlinear proportional-integral-derivative based on tracking-differentiator, and the sufficient conditions for the system stability are given using the T-passive method. The simulation results show that the collision avoidance time estimation error is small and the maneuvering range of collision avoidance is smaller than the collision avoidance method based on proportional guidance and nonlinear dynamic inverse guidance. This method can achieve collision avoidance under the influence of wind disturbance and safety distance abrupt change.

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Dotsenko, A. V. "Collision Avoidance System Synthesis for a Group of Robots in Unsupervised Learning Paradigm." Mekhatronika, Avtomatizatsiya, Upravlenie 21, no. 7 (July 7, 2020): 420–27. http://dx.doi.org/10.17587/mau.21.420-427.

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Collision avoidance is very important problem in the domain of multi-robot interaction. In this paper we propose a new approach of collision avoidance in the context of the optimal control system synthesis problem definition with minimal information available. It is assumed that robots have a certain scope within which they can interact with static and dynamic phase constraints. A group of robots is considered to be homogeneous, and control system unit for reaching terminal states already available to robots. The control system which is responsible for collision avoidance is only activated when the nearest neighbor is located in the scope of the considered robot. The first important feature of this work is the fact that the collision avoidance between two robots is reciprocal with joint control system, without assigning priorities. Another key feature of this work is the complete absence of information about the environment and the current state of other robots at given time. Robots only share information with nearest neighbors if they locate in the scope of each other. We also present a computational experiment with mobile robots as control objects. A multilayer perceptron was used to approximate the control function. Weights of the perceptron were optimized in unsupervised paradigm by an algorithm belonging to the evolutionary strategies class. At the beginning of each epoch we generate a sample of collision scenarios for optimization, while the quality criterion of the achieved weights at the end of epoch is evaluated on a fixed test sample. Experimental results demonstrate strong ability of the optimized multilayer perceptron to map the relative state of two mobile robots to controls in order to avoid collisions.

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Journal articles on the topic 'Collision avoidance system'

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