Relevant bibliographies by topics / Collision avoidance system

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Collision avoidance system'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "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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Dissertations / Theses on the topic "Collision avoidance system"

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Agarwal, Megha, Alisha Bandekar, Ashley Kang, Tyler Martis, Hossein Namazyfard, Alan Yeh, Megha Agarwal, et al. "Automotive LiDAR Collision-Avoidance System." Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/624893.

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The project at hand is an Automotive LiDAR Collision Avoidance System sponsored by Texas Instruments. The purpose of this project is to design and create a LiDAR system that utilizes Texas Instruments' technology to avoid forward collisions when mounted on a remote control car. The team is made up of six seniors from the University of Arizona of four different engineering disciplines including electrical, mechanical, computer, and optical engineering. The LiDAR Collision avoidance system is designed and built under a budget constraint of $4,000 and a non-negotiable completion deadline of May 1, 2017, otherwise known as Design Day.
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Rennæs, Karsten Fernholt. "Wireless Positioning and Collision Avoidance System." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19205.

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Early in the 1980's Jens G. Balchen wanted to create an autonomous bike, capable of driving without any help from supporting wheels or human interaction. The intriguing idea included a variety of complicated concepts and was at that time almost an impossible task to accomplish. As time progressed and both technology and equipment developed, the possibility of a driverless bike becomes more than just an idea. The Norwegian University of Science and Technology (NTNU) has during the later years dedicated resources, time and effort in making a reality of the concept through the project named CyberBike. Every year, clever solutions are brought to the table, adding more functionality and better designs, bringing the project closer to a complete solution of an autonomous bike.The main focus of this thesis has been to develop a system for the bikes positioning system, as well as collision avoidance. It also includes the communication made from the bike to a potential operator via wireless data transfer. The goal is to make a solution for the bike so that it could travel a given route, while communicating important data back to the observers. The task encompasses gathering the information made available by previous work, defining key areas of improvement and designing and testing a proposed solution. First, the overall design is presented, showing how the two circuit boards made as the solution are connected with possible peripherals. The technical communication challenges pertaining the wireless communication is touched upon and relevant concepts are introduced. Furthermore, the selected microcontroller for the system is presented, giving key pointers in specific areas which might be confusing. Different possible devices are then discussed for the positioning system, the wireless communication and different setups of range sensors. Testing done using the equipment explained in the thesis is presented, showing the results of the system. Improvements to the solution are introduced based on the experience obtained through the work, giving a solid basis for further work relating to the subject.
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Li, Huiying. "Visual cueing for collision avoidance system." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/7927.

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The modern Traffic Alert and Collision Avoidance System (TCAS) used in airlines today is the TCAS II. It provides pilots with both Traffic Advisory (TA) and Resolution Advisory (RA) which in turn reduces the incidence of mid-air collisions. It was demonstrated that TCAS could provide safety and economy benefits for airlines nowadays. However, as the demand for commercial air travels increases, it exerted a considerable amount of strain on the current ‘traditional’ TCAS system. This is primarily due to the increase in competition for airspace. Trajectory-based TCAS systems have been proposed to overcome the emerging difficulties with collision avoidance. To date, TCAS systems only provide vertical 2D guidance for the aircraft, that is to say, that the pilot only receives a ‘Climb’ or ‘Descend’ indicator with minimalistic visual cues. The following thesis proposes a new visual cueing method which integrates 3D trajectory path planning for TCAS system. In general, Head-up Display (HUD) instrumentation provides the pilot with primary flight display, navigation and guidance information pertaining to the aircraft’s states. It is especially useful during the critical flight phases, such as approach, landing and manoeuvring. Furthermore, as the HUD is located in the direct front field of view, it allows the pilot to keep his her head up while performing special tasks. It has been demonstrated that the HUD adds a substantial safety benefit as well as mitigating pilot workload. Thus a conceptual HUD has been proposed and was used in this project, the developed TCAS manoeuvre display and conflict alerts were superimposed on HUD. A Boeing 747 aircraft model developed in the MATLAB Simulink environment has been integrated with a 3D trajectory-based TCAS system. Perspective projection techniques were addressed for TCAS resolution display and were developed in Java. The resolution display utilizes 3D tunnel-in-thesky concept as an advanced visual cue. TCAS traffic indications and aural announcements were implemented using Java and MATLAB respectively. The HUD concept was designed in the de-cluttered format in accordance with FAR 25.1321 SAE ARP5288 standards, and was also developed in Java language. It maximised compatibility with head down display. Finally, the impact of the developed visual cueing methods were discussed and assessed through scenario trials. This thesis presents an account of the work done within the scope. It underlines the main considerations of the design, how scenarios were implemented and their measurements. The research indicated that tunnel-in-the-sky was an appropriate display solution for trajectory-based collision avoidance. It has the advantage of presenting the predictive flight path in an intuitive and natural way.
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Coenen, Frans Pierre. "A rule based collision avoidance system." Thesis, Liverpool John Moores University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237820.

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Strömgren, Oliver. "Deep Learning for Autonomous Collision Avoidance." Thesis, Linköpings universitet, Datorseende, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-147693.

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Deep learning has been rapidly growing in recent years obtaining excellent results for many computer vision applications, such as image classification and object detection. One aspect for the increased popularity of deep learning is that it mitigates the need for hand-crafted features. This thesis work investigates deep learning as a methodology to solve the problem of autonomous collision avoidance for a small robotic car. To accomplish this, transfer learning is used with the VGG16 deep network pre-trained on ImageNet dataset. A dataset has been collected and then used to fine-tune and validate the network offline. The deep network has been used with the robotic car in a real-time manner. The robotic car sends images to an external computer, which is used for running the network. The predictions from the network is sent back to the robotic car which takes actions based on those predictions. The results show that deep learning has great potential in solving the collision avoidance problem.
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Herb, Gregory M. "A real-time robot collision avoidance safety system." Thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-06082009-170801/.

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Tan, Chiew Seon. "A collision avoidance system for autonomous underwater vehicles." Thesis, University of Plymouth, 2006. http://hdl.handle.net/10026.1/2258.

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The work in this thesis is concerned with the development of a novel and practical collision avoidance system for autonomous underwater vehicles (AUVs). Synergistically, advanced stochastic motion planning methods, dynamics quantisation approaches, multivariable tracking controller designs, sonar data processing and workspace representation, are combined to enhance significantly the survivability of modern AUVs. The recent proliferation of autonomous AUV deployments for various missions such as seafloor surveying, scientific data gathering and mine hunting has demanded a substantial increase in vehicle autonomy. One matching requirement of such missions is to allow all the AUV to navigate safely in a dynamic and unstructured environment. Therefore, it is vital that a robust and effective collision avoidance system should be forthcoming in order to preserve the structural integrity of the vehicle whilst simultaneously increasing its autonomy. This thesis not only provides a holistic framework but also an arsenal of computational techniques in the design of a collision avoidance system for AUVs. The design of an obstacle avoidance system is first addressed. The core paradigm is the application of the Rapidly-exploring Random Tree (RRT) algorithm and the newly developed version for use as a motion planning tool. Later, this technique is merged with the Manoeuvre Automaton (MA) representation to address the inherent disadvantages of the RRT. A novel multi-node version which can also address time varying final state is suggested. Clearly, the reference trajectory generated by the aforementioned embedded planner must be tracked. Hence, the feasibility of employing the linear quadratic regulator (LQG) and the nonlinear kinematic based state-dependent Ricatti equation (SDRE) controller as trajectory trackers are explored. The obstacle detection module, which comprises of sonar processing and workspace representation submodules, is developed and tested on actual sonar data acquired in a sea-trial via a prototype forward looking sonar (AT500). The sonar processing techniques applied are fundamentally derived from the image processing perspective. Likewise, a novel occupancy grid using nonlinear function is proposed for the workspace representation of the AUV. Results are presented that demonstrate the ability of an AUV to navigate a complex environment. To the author's knowledge, it is the first time the above newly developed methodologies have been applied to an A UV collision avoidance system, and, therefore, it is considered that the work constitutes a contribution of knowledge in this area of work.
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Kalvå, Andreas. "Collision detection and avoidance system based on computer vision." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-24779.

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A wide selection of stereo matching algorithms have been evaluated for the purpose ofcreating a collision avoidance module. Varying greatly in the accuracy, a few of thealgorithms were fast enough for further use.Two computer vision libraries, OpenCV and MRF, were evaluated for their implementationsof various stereo matching algorithms. In addition OpenCV provides a wide variety offunctions for creating sophisticated computer vision programs and were evaluated onthis basis as well.A stereo camera were constructed using low cost, of-the-shelf web cameras.Two low-power platforms, The Pandaboard and the Beaglebone Black, were evaluated asviable platforms for developing a computer vision module on top. In addition they werecompared to an Intel platform as a reference.Based on the results gathered, a fast, but simple, collision detector could be madeusing the simple block matching algorithm found in OpenCV. A more advanced detectorcould be built using semi-global stereo matching. These were the only implementationsthat were fast enough. The other energy minimization algorithms (Graph cuts and beliefpropagation) did produce good disparity maps, but were too slow for any realisticcollision detector.In order for the low-power platforms to be fast enough, a combination of improvementsmust be used. OpenCV should be compiled with aggressive optimization options enabledwith support for hardware accelerated floating point math. Choice of low-power platformmatters, but it is possible to work around this by reducing the workload.The most effective speedup that enables the low-power platforms were reducing theresolution of the images to be matched. When reducing the size of the sub-problemsenough to align with cache size, considerable speedups were found with littlepenalty in the corresponding disparity map.
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Kon, Tayfun. "Collision Warning and Avoidance System for Crest Vertical Curves." Master's thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/37169.

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In recent years, State Road Route 114 which is located in Montgomery County, Virginia, has gained a bad reputation because of numerous traffic accidents. Most of these accidents resulted in loss of lives and property. Although there are many suggestions and proposals designed to prevent these acidents, to date no actions is taken yet. The focus of this research is to explore a technology-based, low cost solution that will lower or eliminate the risk of accidents on this two-lane rural highway.
Master of Science
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Gorman, Thomas Ian. "Prospects for the Collision-Free Car: The Effectiveness of Five Competing Forward Collision Avoidance Systems." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/24721.

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Rear-end collisions in which the leading vehicle was stationary prior to impact and at least one vehicle was towed from the crash site represent 18% of all yearly crashes in the United States. Forward Collision Avoidance Systems (FCASs) are becoming increasingly available in production vehicles and have a great potential for preventing or mitigating rear-end collisions. The objective of this study was to compare the effectiveness of five crash avoidance algorithms that are similar in design to systems found on production vehicles of model year 2011. To predict the effectiveness of each algorithm, this study simulated a representative sample of rear-end collisions as if the striking vehicle was equipped with each FCAS. In 2011, the ADAC (Allgemeiner Deutscher Automobil-Club e.V) published a test report comparing advanced emergency braking systems. The ADAC tested production vehicles of model year 2011 made by Audi, BMW, Infiniti, Volvo, and VW. The ADAC test results were used in conjunction with video evidence and owner's manual information to develop mathematical models of five different FCASs. The systems had combinations of Forward Collision Warning (FCW), Assisted Braking (AB), and Autonomous Emergency Braking (AEB). The effectiveness of each modeled system was measured by its ability to prevent collisions or reduce the collision severity of reconstructed crashes. In this study, 977 rear-end crashes that occurred from 1993 to 2008 were mathematically reconstructed. These crashes were investigated as part of NHTSA's National Automotive Sampling System, Crashworthiness Data System (NASS/CDS). These crashes represent almost 800,000 crashes during that time period in which the struck vehicle was stationary. Part of the NASS/CDS investigation was to reconstruct the vehicle change in velocity during impact, ∆V. Using energy and Newtonian based methods, the ∆V in each crash was calculated as if the vehicle was equipped with each modeled FCAS. Using the predicted reduction in crash ∆V, the expected reduction in the number of moderately-to-fatally injured (MAIS2+) drivers was predicted. This study estimates that the most effective FCAS model was the Volvo algorithm which could potentially prevent between 79% and 92% of the crashes simulated in this study and between 76% and 94% of associated driver injuries. This study estimates that the BMW algorithm would prevent the fewest number of crashes (between 11% and 14%), but would provide admirable benefits to driver safety by preventing between 21% and 25% of driver injuries. The VW algorithm would be the least effective at preventing driver injuries if the system were to be implemented across the U.S. fleet. This algorithm offers a 19% reduction in crashes, but only prevents 15% of driver injuries. This study introduces and demonstrates a unique method of comparing potential benefits of competing FCAS algorithms. This method could be particularly useful to system designers for comparing the expected effects of design decisions on safety performance. This method could also be useful to government officials who wish to evaluate the effectiveness of FCASs.
Master of Science
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Books on the topic "Collision avoidance system"

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Szabo, S. The AUTONAV/DOT project: Baseline measurement system for evaluation of roadway departure warning system. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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Shaffer, Clifford A. A real-time robot arm collision detection system. [Blacksburg, Va.]: Dept. of Computer Science, Virginia Polytechnic Institute and State University, 1990.

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Shaffer, Clifford A. A real-time robot arm collision detection system. [Blacksburg, Va.]: Dept. of Computer Science, Virginia Polytechnic Institute and State University, 1990.

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Tuttell, Robert Joseph. Human factors aspects of the Traffic Alert and Collision Avoidance System (TCAS II). Monterey, California: Naval Postgraduate School, 1988.

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United States. Congress. House. Committee on Science and Technology. The traffic alert and collision avoidance system: A technological contribution to air safety : report. Washington: U.S. G.P.O., 1986.

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Lebron, John E. System safety study of minimum TCAS II for instrument weather conditions. Washington, D.C: Federal Aviation Administration, Program Engineering & Maintenance Service, 1985.

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Schaefer, Otto. Preliminary system design of a three arm capture mechanism (TACM) flight demonstration article. Huntsville, Ala: National Aeronautics and Space Administration, George C. Marshall Space Flight Center, 1993.

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United States. Congress. House. Committee on Public Works and Transportation. Schedule for installation of the TCAS-II Collision Avoidance System: Report (to accompany H.R. 2151) (including cost estimate of the Congressional Budget Office). [Washington, D.C.?: U.S. G.P.O., 1989.

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United States. Congress. House. Committee on Public Works and Transportation. Schedule for installation of the TCAS-II Collision Avoidance System: Report (to accompany H.R. 2151) (including cost estimate of the Congressional Budget Office). [Washington, D.C.?: U.S. G.P.O., 1989.

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Floyd, Charles Alan. Design and implementation of a collision avoidance system for the NPS Autonomous Underwater Vehicle (AUV II) utilizing ultrasonic sensors. Monterey, Calif: Naval Postgraduate School, 1991.

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Book chapters on the topic "Collision avoidance system"

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Mauro, Stefano, Leonardo Sabatino Scimmi, and Stefano Pastorelli. "Collision Avoidance System for Collaborative Robotics." In Advances in Service and Industrial Robotics, 344–52. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61276-8_38.

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Ramaneti, Ketan Akul, Chaitanya Krishna, Afreen Ahmed, and R. Rajesh. "Autonomous Space Debris Collision Avoidance System." In Advances in Automation, Signal Processing, Instrumentation, and Control, 2489–501. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8221-9_232.

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Noordin, Nurul H., Althea C. Y. Hui, Nurulfadzilah Hassan, and Rosdiyana Samad. "Inter Vehicle Communication System for Collision Avoidance." In Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018, 475–83. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3708-6_41.

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Meng, S. H., A. C. Huang, T. J. Huang, Z. M. Cai, Q. Z. Ye, and F. M. Zou. "Ultrasonic Ranging-based Vehicle Collision Avoidance System." In Advances in Intelligent Information Hiding and Multimedia Signal Processing, 211–18. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50212-0_26.

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von Essen, Christian, and Dimitra Giannakopoulou. "Analyzing the Next Generation Airborne Collision Avoidance System." In Tools and Algorithms for the Construction and Analysis of Systems, 620–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54862-8_54.

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Boscolo, Nicoló, Riccardo De Battisti, Matteo Munaro, Alessandro Farinelli, and Enrico Pagello. "A Distributed Kinodynamic Collision Avoidance System under ROS." In Advances in Intelligent Systems and Computing, 511–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33932-5_47.

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Lind, Henrik, Andrea Saroldi, Magnus Kamel, and Gerard Delaval. "AWARE A Collision Warning and Avoidance Radar System." In Advanced Microsystems for Automotive Applications 98, 79–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-39696-4_7.

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Lind, Henrik, Andrea Saroldi, Magnus Kamel, and Gerard Delaval. "AWARE A Collision Warning and Avoidance Radar System." In Advanced Microsystems for Automotive Applications 98, 79–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72146-5_7.

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Agarwal, Ujjwal Deep, Shishir Sinha, Rajeev Srivastava, Saurav Pathak, and Shiv Raushan. "Development of Collision Avoidance System Using Fuzzy Logic." In Lecture Notes in Mechanical Engineering, 779–87. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6469-3_72.

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Hornauer, Sascha. "Decentralised Collision Avoidance in a Semi-collaborative Multi-agent System." In Multiagent System Technologies, 412–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40776-5_36.

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Conference papers on the topic "Collision avoidance system"

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Belkin, V. V., and F. J. Yanovsky. "Aircraft Collision Avoidance System." In 2007 IEEE Aerospace Conference. IEEE, 2007. http://dx.doi.org/10.1109/aero.2007.352730.

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Gaur, Lovely, and Imdad Rizvi. "Improved Vehicle Collision Avoidance System." In 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2018. http://dx.doi.org/10.1109/iceca.2018.8474607.

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Rawashdeh, Zaydoun Yahya, and Syed Masud Mahmud. "Intersection Collision Avoidance System Architecture." In 2008 5th IEEE Consumer Communications and Networking Conference. IEEE, 2008. http://dx.doi.org/10.1109/ccnc08.2007.115.

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Zhang, Jianming, Qijin Lu, and Shuting Zao. "TCAS：Train Collision Avoidance System." In 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/iceesd-18.2018.197.

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Peisen, Xu. "Collision Warning and Avoidance System." In 2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI). IEEE, 2020. http://dx.doi.org/10.1109/ichci51889.2020.00071.

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POLLACK, DALE. "A simplified aircraft collision avoidance system." In Digital Avionics Systems Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-3961.

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Hwang, Jihye, Yeounggwang Ji, and Eun Yi Kim. "Monocular vision-based collision avoidance system." In the 14th international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2371664.2371688.

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Seiler, Peter, Bongsob Song, and J. Karl Hedrick. "Development of a Collision Avoidance System." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1998. http://dx.doi.org/10.4271/980853.

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Richardson, Casey, Charles Eger, and Tucker Hamilton. "Automatic Air Collision Avoidance System Testing." In AIAA Modeling and Simulation Technologies Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-0657.

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Richard, Herbert L. "Low-cost aircraft collision-avoidance system." In Optical Engineering and Photonics in Aerospace Sensing, edited by Gary W. Kamerman and William E. Keicher. SPIE, 1993. http://dx.doi.org/10.1117/12.157113.

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Reports on the topic "Collision avoidance system"

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Wilson, Mike, and Glenn Baker. Passive Collision Avoidance System for UAS. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada486617.

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Miyoshi, Noboru, Masao Nagai, Takayoshi Kamada, and Hidehisa Yoshida. Development of Forward-Collision Avoidance Warning System Adapted for Driver Characteristics. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0554.

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Sasaki, Yousei, Yoshimi Furukawa, and Takashi Suzuki. An Examination of Assist System in the Scene of Collision Avoidance Steer. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0483.

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Kurosaki, Akira, Hiroaki Kosaka, Masaru Noda, and Hirokazu Nishitani. Relationship Between Missing/False Alarm of a Collision Avoidance Assist System and Driver's Behavior. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0297.

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Mapes, Peter B. Fighter/Attack Automatic Collision Avoidance Systems Business Case. Fort Belvoir, VA: Defense Technical Information Center, February 2006. http://dx.doi.org/10.21236/ada444127.

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Chen, Yan, Christopher Nwagboso, and Panagiotis Georgakis. Modelling Integrated Safety Systems With Collision Avoidance and Intelligent Speed Adaptation. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0260.

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McGehee, Daniel V., G. H. Scott Baldwin, Peter Grant, Carole J. Simmons, Jon Hankey, Garrick Forkenbrock, and Elizabeth N. Mazzae. Examination of Drivers' Collision Avoidance Behavior Using Conventional and Antilock Brake Systems on the Iowa Driving Simulator. Washington, D.C: U.S. Department of Transportation. National Highway Traffic Safety Administration, June 1999. http://dx.doi.org/10.17077/9ail-egi7.

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