Relevant bibliographies by topics / Collision Optimizer

Contents

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

Academic literature on the topic 'Collision Optimizer'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Collision Optimizer.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Collision Optimizer"

1

Anshu Vashisth. "Energy-Efficient Hybrid Bio-Inspired Approach for Low-Latency Collision-Aware UAV Networks." Journal of Information Systems Engineering and Management 10, no. 39s (2025): 128–44. https://doi.org/10.52783/jisem.v10i39s.7079.

Full text
Abstract:
The pervasive integration of Unmanned Aerial Vehicle (UAV) networks across various applications underscores the imperative for sophisticated communication and collision avoidance strategies to optimize their operational prowess. Traditional UAV network optimization methodologies grapple with inherent challenges related to collision minimization and channel utilization, resulting in detrimental outcomes such as elevated communication delays, increased energy consumption, and compromised throughput alongside diminished packet delivery ratios. This study addresses these shortcomings through the introduction of an innovative optimization model that synergizes the robust characteristics of the Teacher Learner-based Grey Wolf Optimizer (TLGWO) and the Bat Firefly Optimizer (BFFO), thereby significantly elevating the overall performance of UAV networks. The TLGWO component of the pro-posed model is intricately designed to minimize collisions among UAV nodes by analytically assessing temporal and spatial performance metrics. This includes a nuanced examination of communication delay dynamics and the historical context of avoided collisions. Simultaneously, the BFFO module is engineered to maximize channel utilization, leveraging the same performance metrics for a holistic optimization approach. The dual application of TLGWO and BFFO ensures a comprehensive enhancement of UAV network efficiency. Empirical validation demonstrates the superiority of the proposed model over existing methods, showcasing a remarkable 10.4% reduction in communication delay, an 8.5% improvement in energy efficiency, a 3.5% increase in packet delivery ratio, a 9.5% enhancement in throughput, and a 4.9% reduction in collision occurrences. The significant impact of this research is far-reaching, providing a robust and versatile framework for fortifying UAV network efficiency across diverse applications, thereby propelling the field towards more dependable and efficient UAV deployments in critical sectors.
APA, Harvard, Vancouver, ISO, and other styles
2

Chen, Yidong, Jinghua Li, Lei Zhou, Dening Song, and Boxin Yang. "An Improved Dung Beetle Optimizer for the Twin Stacker Cranes’ Scheduling Problem." Biomimetics 9, no. 11 (2024): 683. http://dx.doi.org/10.3390/biomimetics9110683.

Full text
Abstract:
In recent years, twin stacker crane units have been increasingly integrated into large automated storage and retrieval systems (AS/RSs) in shipyards to enhance operational efficiency. These common rail units often encounter conflicts, and the additional time costs incurred during collision avoidance significantly diminish AS/RS efficiency. Therefore, addressing the twin stacker cranes’ scheduling problem (TSSP) with a collision-free constraint is essential. This paper presents a novel approach to identifying and avoiding collisions by approximating the stacker crane’s trip trajectory as a triangular envelope. Utilizing the collision identification equation derived from this method, we express the collision-free constraint within the TSSP and formulate a mixed-integer programming model. Recognizing the multimodal characteristics of the TSSP objective function, we introduce the dung beetle optimizer (DBO), which excels in multimodal test functions, as the foundational framework for a heuristic optimizer aimed at large-scale TSSPs that are challenging for exact algorithms. To adapt the optimizer for bi-level programming problems like TSSPs, we propose a double-layer code mechanism and innovatively design a binary DBO for the binary layer. Additionally, we incorporate several components, including a hybrid initialization strategy, a Cauchy–Gaussian mixture distribution neighborhood search strategy, and a velocity revision strategy based on continuous space discretization, into the improved dung beetle optimizer (IDBO) to further enhance its performance. To validate the efficacy of the IDBO, we established a numerical experimental environment and generated a series of instances based on actual environmental parameters and operational conditions from an advanced AS/RS in southeastern China. Extensive comparative experiments on various scales and distributions demonstrate that the components of the IDBO significantly improve algorithm performance, yielding stable advantages over classical algorithms in solving TSSPs, with improvements exceeding 10%.
APA, Harvard, Vancouver, ISO, and other styles
3

Lim, Sanghyeon, Wontaek Oh, Jihun Choi, and Jongchan Park. "Estimation Collision Speed of Vehicle by Using PC-CRASH Collision Optimizer." Transaction of the Korean Society of Automotive Engineers 27, no. 12 (2019): 911–17. http://dx.doi.org/10.7467/ksae.2019.27.12.911.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Raman Dugyala, Akhil Khare, K. Selvakumar,. "Collision Mitigation by Dolphin Ant Lion Optimizer Pre-Packet Scheduling Approach." Tuijin Jishu/Journal of Propulsion Technology 44, no. 3 (2023): 2431–44. http://dx.doi.org/10.52783/tjjpt.v44.i3.722.

Full text
Abstract:
A wireless sensor network (WSN) consists of distributed autonomous sensors deployed over a large geographical area. Wireless Sensor Networks (WSNs) are composed of large-scale sensors that are specifically assigned to do particular tasks, with a significant portion of these tasks involving reporting and monitoring activities. Nevertheless, because to the potential expansion of the network to several sensor nodes, the likelihood of collision is significantly increased. This research presents an innovative approach for conducting collision detection and mitigation in wireless sensor networks (WSN). The first step involves conducting a simulation of Wireless Sensor Networks (WSN), followed by the utilization of the Fractional Artificial Bee Colony (FABC) algorithm for the selection of cluster heads. In this context, the network-based parameter is derived by considering factors such as the Received Signal Strength Index (RSSI), priority level, delivery rate, and energy consumption. The Deep Recurrent Neural Network (DRNN) has been modified to suit the task of collision detection. The training of the deep recurrent neural network (DRNN) is conducted via the Lion Crow Search optimizer (LCSO). Following the completion of collision detection, the subsequent step involves the implementation of a collision mitigation process utilizing a pre-scheduling technique known as Dolphin Ant Lion Optimizer (Dolphin ALO). In this context, the evaluation of fitness encompasses many factors related to collision mitigation, including energy consumption, Sleep Index (SI), delivery rate, priority level, E-waste management, and E-save measures. The approach presented in this study demonstrated superior performance in terms of energy consumption, throughput, Packet Delivery Ratio (PDR), and collision detection rate. Specifically, it achieved the least energy consumption of 0.185, the greatest throughput of 0.815, the highest PDR of 0.815, and the highest collision detection rate of 0.930.
APA, Harvard, Vancouver, ISO, and other styles
5

Hawary, A. F., and N. A. Razak. "Real-time Collision Avoidance and Path Optimizer for Semi-autonomous UAVs." IOP Conference Series: Materials Science and Engineering 370 (May 2018): 012043. http://dx.doi.org/10.1088/1757-899x/370/1/012043.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Duan, Shaomi, Huilong Luo, and Haipeng Liu. "An Elastic Collision Seeker Optimization Algorithm for Optimization Constrained Engineering Problems." Mathematical Problems in Engineering 2022 (January 10, 2022): 1–28. http://dx.doi.org/10.1155/2022/1344667.

Full text
Abstract:
To improve the seeker optimization algorithm (SOA), an elastic collision seeker optimization algorithm (ECSOA) was proposed. The ECSOA evolves some individuals in three situations: completely elastic collision, completely inelastic collision, and non-completely elastic collision. These strategies enhance the individuals’ diversity and avert falling into the local optimum. The ECSOA is compared with the particle swarm optimization (PSO), the simulated annealing and genetic algorithm (SA_GA), the gravitational search algorithm (GSA), the sine cosine algorithm (SCA), the multiverse optimizer (MVO), and the seeker optimization algorithm (SOA); then, fifteen benchmark functions, four PID control parameter models, and six constrained engineering optimization problems were selected for the experiment. According to the experimental results, the ECSOA can be used in the benchmark functions, the PID control parameter optimization, and the optimization constrained engineering problems. The optimization ability and robustness of ECSOA are better.
APA, Harvard, Vancouver, ISO, and other styles
7

Chen, Zhongcheng, Chuang Li, Meiling Qin, and Yong Wang. "DBO-Based Mobile Agent Crowd Sensing for Pollution Source Localization." Journal of Physics: Conference Series 3004, no. 1 (2025): 012093. https://doi.org/10.1088/1742-6596/3004/1/012093.

Full text
Abstract:
Abstract Pollution source localization is a critical concern in various monitoring applications. In this paper, we propose a multi-agent crowd sensing method for pollution source localization using simplified dung beetle optimizer (DBO). The DBO controller guides the agent swarm to move towards the pollution source in the manner of aggregation, meanwhile, prevents the occurrence of collisions between agents or between agents and obstacles during movement. Besides, the controller incorporates the remaining to ensure balanced energy cost among mobile agents. Furthermore, a collaborative sensing model based on link quality is specially designed to maintain reliable connectivity between mobile agents during pollution source localization. Experiment results demonstrate our method enables precise localization of the pollution source, while having superiority in energy efficiency, collision avoidance and multi-agent connectivity.
APA, Harvard, Vancouver, ISO, and other styles
8

Zhong, Weifan, and Lijing Du. "Predicting Traffic Casualties Using Support Vector Machines with Heuristic Algorithms: A Study Based on Collision Data of Urban Roads." Sustainability 15, no. 4 (2023): 2944. http://dx.doi.org/10.3390/su15042944.

Full text
Abstract:
Traffic accidents on urban roads are a major cause of death despite the development of traffic safety measures. However, the prediction of casualties in urban road traffic accidents has not been deeply explored in previous research. Effective forecasting methods for the casualties of traffic accidents can improve the manner of traffic accident warnings, further avoiding unnecessary loss. This paper provides a practicable model for traffic forecast problems, in which ten variables, including time characteristics, weather factors, accident types, collision characteristics, and road environment conditions, were selected as independent factors. A mixed-support vector machine (SVM) with a genetic algorithm (GA), sparrow search algorithm (SSA), grey wolf optimizer algorithm (GWO) and particle swarm optimization algorithm (PSO) separately are proposed to predict the casualties of collisions. Grounded on 4285 valid urban road traffic collisions, the computing results show that the SSA-SVM performs effectively in the casualties forecast compared with the GWO-SVM, GA-SVM and PSO-SVM.
APA, Harvard, Vancouver, ISO, and other styles
9

Jarray, Raja, Soufiene Bouallègue, Hegazy Rezk, and Mujahed Al-Dhaifallah. "Parallel Multiobjective Multiverse Optimizer for Path Planning of Unmanned Aerial Vehicles in a Dynamic Environment with Moving Obstacles." Drones 6, no. 12 (2022): 385. http://dx.doi.org/10.3390/drones6120385.

Full text
Abstract:
Path planning with collision avoidance for unmanned aerial vehicles (UAVs) in environments with moving obstacles is a complex process of navigation, often considered a hard optimization problem. Ordinary resolution algorithms may fail to provide flyable and collision-free paths under the time-consumption constraints required by the dynamic 3D environment. In this paper, a new parallel multiobjective multiverse optimizer (PMOMVO) is proposed and successfully applied to deal with the increased computation time of the UAV path planning problem in dynamic 3D environments. Collision constraints with moving obstacles and narrow pass zones were established based on a mathematical characterization of any intersection with lines connecting two consecutive drones’ positions. For the implementation, a multicore central processing unit (CPU) architecture was proposed according to the concept of master–slave processing parallelization. Each subswarm of the entire PMOMVO population was granted to a corresponding slave, and representative solutions were selected and shared with the master core. Slaves sent their local Pareto fronts to the CPU core representing the master that merged the received set of nondominated solutions and built a global Pareto front. Demonstrative results and nonparametric ANOVA statistical analyses were carried out to show the effectiveness and superiority of the proposed PMOMVO algorithm compared to other homologous, multiobjective metaheuristics.
APA, Harvard, Vancouver, ISO, and other styles
10

Zhang, Tian, and Xiangyin Zhang. "Distributed Model Predictive Control with Particle Swarm Optimizer for Collision-Free Trajectory Tracking of MWMR Formation." Actuators 12, no. 3 (2023): 127. http://dx.doi.org/10.3390/act12030127.

Full text
Abstract:
The distributed model predictive control (DMPC) strategy with particle swarm optimization (PSO) is applied to solve the collision-free trajectory tracking problem for the mecanum-wheeled mobile robot (MWMR) formation. Under the leader–follower framework, the predictive model is established considering the kinematics and dynamics of the MWMR with the uncertainties and external disturbances. Based on the information from itself and its neighbors, each MWMR is assigned its own finite-horizon optimal control problem, of which the objective/cost function consists of formation maintenance, trajectory tracking, and collision avoidance terms, and the control inputs of each MWMR are computed synchronously in a distributed manner. PSO serves as the fast and effective optimizer to find feasible solutions to these finite-horizon optimal control problems. Further, the feedback emendation is implemented using a double closed-loop compensator to efficiently inhibit the influence of unknown dynamics in real time. The stability of the proposed distributed formation control approach is strictly analyzed. Numerical simulations confirmed the robustness and effectiveness of the control approach in obstacle environments.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Collision Optimizer"

1

Shore, Patrick. "Swinging Babe's Bat: Optimizing Home Run Distance Using Ideal Parameters." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2226.

Full text
Abstract:
Significant research has been conducted on the physics of ball and bat collisions in an effort to model and understand real-world conditions. This thesis expands upon previous research to determine the maximum distance a ball can travel under ideal circumstances. Bat mass, bat speed, pitch speed and pitch spin were controlled values. These values were selected based on the highest recorded MLB values for their respective category. Specifically these are: Babe Ruth’s largest bat, Giancarlo Stanton’s recorded swing speed and Aroldis Chapman’s fastest fastball. A model was developed for a planar collision between a bat and ball using conservation laws in order to achieve the maximum exit velocity of the ball during a head-on collision. However, this thesis is focused on home runs and long fly-balls that occur from oblique collisions rather than the line drives produced by head-on collisions. The planar collision model results were adjusted to oblique collisions based on data from previous experimental research. The ball and bat were assumed to be moving in opposite directions parallel to one another at the point of impact with the ball slightly elevated above the bat. The post-collision results for the launch angle, spin and final exit velocity of the ball were calculated as functions of the perpendicular distance from the centerline of the bat to the centerline of the ball. Trajectories of the ball were calculated using a flight model that measured the final distance of the ball based on lift and drag forces. The results indicate that the optimum pre-collision parameters described above will maximize the distance traveled by the ball well beyond the farthest recorded home run distance. Experimentally determined factors such as the drag coefficient and coefficient of restitution have a significant impact on the flight of the ball. Implications of the results are discussed.
APA, Harvard, Vancouver, ISO, and other styles
2

Majhi, Jogendra. "Optimized Collision Warning Protocol in VANET." Thesis, 2015. http://ethesis.nitrkl.ac.in/6800/1/Optimized_Majhi_2015.pdf.

Full text
Abstract:
Transportation has become an essential part in our life. As an outcome, number of vehicles are going up day by day. Trafc casualties is getting higher and higher day by day and streets are being blocked and overcrowded. Vehicle accidents have been taking many lives every year, it has now outnumbered the number of death a disaster or a savage infection takes lives in a year. Studies demonstrate that if the driver of the vehicle is given a warning message in less than half seconds before an accident then around 50% roadway crashes could be evaded. In this thesis a vehicle-to-vehicle communication protocol for collision warning has been proposed. Wireless technology such as DSRC promises to significantly diminish the number of deadly road accidents for vehicle-to-vehicle (V2V) and vehicle-to-roadside (V2R) communication by giving timely warnings. Accomplishing low delivery delay time in conveying Emergency Warning Message in different road circumstances to neighboring vehicles is one of the foremost technical issue addressed in this thesis. Moreover an algorithm for collision avoidance is also stated in this thesis. An effective protocol was designed covering obstruction control policies and techniques for Emergency Warning Message differentiation by taking into account various application requirements. Results from the simulation shows that the protocol proposed in this thesis accomplishes low delivery delay time in conveying Emergency Warning Message even under unpleasant road situation.
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Collision Optimizer"

1

Succi, Sauro. Lattice Relaxation Schemes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0014.

Full text
Abstract:
In Chapter 13, it was shown that the complexity of the LBE collision operator can be cut down dramatically by formulating discrete versions with prescribed local equilibria. In this chapter, the process is taken one step further by presenting a minimal formulation whereby the collision matrix is reduced to the identity, upfronted by a single relaxation parameter, fixing the viscosity of the lattice fluid. The idea is patterned after the celebrated Bhatnagar–Gross–Krook (BGK) model Boltzmann introduced in continuum kinetic theory as early as 1954. The second part of the chapter describes the comeback of the early LBE in optimized multi-relaxation form, as well as few recent variants hereof.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Collision Optimizer"

1

Qian, Shenghua. "Vehicle Collision Prediction Model on the Internet of Vehicles." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_53.

Full text
Abstract:
AbstractAn active collision prediction model on the Internet of Vehicles is proposed. Through big data calculation on the cloud computing platform, the model predicts whether the vehicles may collide and the time of the collision, so the server actively sends warning signals to the vehicles that may collide. Firstly, the vehicle collision prediction model preprocesses the data set, and then constructs a new feature set through feature engineering. For the imbalance of the data set, which affects predictive results, SMOTE algorithm is proposed to generate new samples. Then, the LightGBM algorithm optimized by Bayesian parameters is used to predict the vehicle collision state. Finally, for the problem of low accuracy in predicting the collision time, the time prediction is transformed into a classification problem, and the Bayesian optimization K-means algorithm is used to predict the vehicle collision time. The experimental results prove that the vehicle collision prediction model proposed in this paper has better results.
APA, Harvard, Vancouver, ISO, and other styles
2

Wu, Xiangqian, Li Yi, Matthias Klar, Marco Hussong, Moritz Glatt, and Jan C. Aurich. "Intelligent Robotic Arm Path Planning (IRAP2) Framework to Improve Work Safety in Human-Robot Collaboration (HRC) Workspace Using Deep Deterministic Policy Gradient (DDPG) Algorithm." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_18.

Full text
Abstract:
AbstractIndustrial robots are widely used in manufacturing systems. The places that humans share with robots are called human-robot collaboration (HRC) workspaces. To ensure the safety in HRC workspaces, a collision-avoidance system is required. In this paper, we regard the collision-avoidance as a problem during the robot action trajectory design and propose an intelligent robotic arm path planning (IRAP2) framework. The IRAP2 framework is based on the deep deterministic policy gradient (DDPG) algorithm because the path planning is a typical continuous control problem in a dynamic environment, and DDPG is well suited for such problems. To test the IRAP2 framework, we have studied a HRC workspace in which the robot size is larger than humans. At first, we have applied a physics engine to build a virtual HRC workspace including digital models of a robot and a human. Using this virtual HRC workspace as the environment model, we further trained an agent model using the DDPG algorithm. The trained model can optimize the motion path of the robot to avoid collision with the human.
APA, Harvard, Vancouver, ISO, and other styles
3

Wu, Jiaxu. "Optimized Application of ADS-B Technology in Aircraft Collision Avoidance System." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0208-7_69.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Blume, Christian. "Optimized Collision Free Robot Move Statement Generation by the Evolutionary Software GLEAM." In Real-World Applications of Evolutionary Computing. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45561-2_32.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Fang, Yichuan, Yongjuan Wang, Pengchao Li, Tongguang Gu, and Xin’an Gao. "Reliability Optimization Design Method for Firearms Automaton Mechanism." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_22.

Full text
Abstract:
AbstractIn order to deal with the reliability optimization design problem of mechanisms containing multiple motion phases and multiple collisions, this paper takes the firearms automaton as an example and gives a general method to deal with such problems. Firstly, the motion stages are divided according to the automatic cycle diagram of the firearms automaton, and the discrete dynamics model of the firearms is established. Then the reliability model of the automaton mechanism is established based on the performance margin theory. Finally, taking the pressure coefficient of air chamber, the friction coefficient of the guide, the stiffness of the counter-recoil spring and the stiffness of the hammer spring as design variables, the optimized design variables are obtained through the calculation of the sequential quadratic programming (SQP) algorithm. The results of the optimized design are close to the idealized results of the existing products, which proves the rationality and effectiveness of the mechanism reliability optimization design method proposed in this paper.
APA, Harvard, Vancouver, ISO, and other styles
6

Gérard, Benoît, and François-Xavier Standaert. "Unified and Optimized Linear Collision Attacks and Their Application in a Non-profiled Setting." In Cryptographic Hardware and Embedded Systems – CHES 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33027-8_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Rauniyar, Shyam, and Donghoon Kim. "Fuzzy Inference System-Based Collision Avoidance of Unmanned Aerial Vehicles Optimized Using Genetic Algorithm." In Fuzzy Information Processing 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46778-3_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kehl, Christian, Maximilian Kloock, Evgeny Kusmenko, et al. "AutoKnigge—Modeling, Evaluation and Verification of Cooperative Interacting Automobiles." In Cooperatively Interacting Vehicles. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-60494-2_13.

Full text
Abstract:
AbstractThe development of cooperative driving functions to optimize traffic systems shows high potential to improve individual autonomous driving systems with respect to topics like traffic flow, vehicle safety and user comfort. The core concept of the presented solutions is the Local Traffic System (LTS). Following the messages defined in European Telecommunications Standards Institute (ETSI) Intelligent Transport Systems (ITS) G5 for Vehicle-to-everything (V2X) cooperation we introduce concepts and implementations to intelligently group vehicles based on the exchanged V2X data with respect to the individual vehicle capability for cooperation. Based on the determined grouping, we present algorithms for cooperative trajectory planning. We develop a verification method for the cooperatively planned trajectories within a LTS. The verification guarantees collision avoidance and deadlock-freeness in real-time. Finally we introduce a model language based on MontiArc to enable a systematic representation and description of the presented concepts for grouping, cooperation and interaction.
APA, Harvard, Vancouver, ISO, and other styles
9

Eilbrecht, Jan, and Olaf Stursberg. "Hierarchical Motion Planning for Consistent and Safe Decisions in Cooperative Autonomous Driving." In Cooperatively Interacting Vehicles. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-60494-2_11.

Full text
Abstract:
AbstractThe immersion of autonomous cars in continuously changing environments of on-road traffic requires procedures for decision-making with fast adaptation as well as guarantees on safe motion and collision-avoidance. This contribution proposes a three-layer hierarchic decomposition of the task of automatically steering the autonomous car along a designated route in cooperation with neighbored vehicles. The upper layer of the hierarchy identifies cooperative groups of those vehicles which are involved in a joint scenario for a phase of the planning horizon. The medium layer employs set-based computations of the free space for any vehicle of a joint scenario together with constrained optimal control to determine optimized motion plans. These plans are used on the lower layer as reference signals for tracking control in order to realize motion trajectories. The architecture ensures consistency of the vehicle motion with respect to safety for given assumptions, as well as relatively small computation times by combining offline with online computation.
APA, Harvard, Vancouver, ISO, and other styles
10

Unger, Nicolas, Pradnil Kamble, and Timo Huse. "Novel Slicing Algorithm for Hybrid Manufacturing on Non-planar Surfaces with Robotic SEAM." In ARENA2036. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88831-1_4.

Full text
Abstract:
Abstract Combining conventional with additive manufacturing processes opens up new possibilities for the flexible, economical production of complex automotive components and structures with varying geometries. This hybrid manufacturing approach can be realized by 3D-Printing functional structures onto pre-existing parts and surfaces with Robotic Screw Extrusion Additive Manufacturing (RSEAM). RSEAM combines the dexterity of industrial robotic arms with the productivity and extensive material range of a screw extruder to provide a highly flexible additive manufacturing process. This paper addresses a critical challenge in hybrid manufacturing: creating suitable manufacturing programs for printing on irregular, non-planar surfaces, that deviate significantly from ideal CAD input. Deviations are classified as macro or micro based on their magnitude relative to the desired printing layer height threshold. We propose a slicing and path-planning algorithm that adapts ideal paths to scanned surfaces and generates optimized trajectories to handle both macro and micro deviations via distinct methods. Macro deviations are handled by offsetting the scanned surface to create layers, smoothing to remove micro deviations and morphing each layer from the ideal CAD onto them. Micro deviations are then accounted for in the first layer by calculating the local non-uniform layer height and locally adjusting the robot velocity. The resulting smooth robot trajectories ensure accurate local bead geometry and correct over-all part geometry adaptation. The algorithm’s output is validated and optimized within a digital twin of the manufacturing system to avoid collisions and singularities. The implemented algorithms are validated and demonstrated on a real-world automotive application.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Collision Optimizer"

1

Ma, Junzhe, Jianhui Cui, and Deng Zirui. "Ship Collision Avoidance Path based on Hermit Crab Optimizer with Multiple-Objective Evolutionary Algorithm." In 2024 First International Conference on Software, Systems and Information Technology (SSITCON). IEEE, 2024. https://doi.org/10.1109/ssitcon62437.2024.10796697.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Zollo, Andrea, Zeno Pavanello, Roberto Armellin, Juan Félix San Juan Díaz, Benjamin Schlepp, and Ralph Kahle. "Validation of a Fuel-Efficient Collision Avoidance Manoeuvre Optimizer for the GRACE-FO Mission." In 22nd IAA Symposium on Space Debris, Held at the 75th International Astronautical Congress (IAC 2024). International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078360-0060.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Wei, Yushuo, Haiying Ma, Ye Xia, and Seyedmilad Komarizadehasl. "Performance Criteria for Bridge Columns Under Impact Loads." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0999.

Full text
Abstract:
<p>The performance-based design of bridge columns under impact action has the potential to enhance the anti-collision performance of bridge columns and optimise the corresponding design. In order to study the dynamic response of columns under the action of low-speed impact, this paper firstly analyzes the damage morphology and the main influencing factors of bridge columns under impact load. Secondly, a numerical model is constructed, and the parameter coupling relationship is considered to form the performance index function. The results demonstrate that the primary reinforcement rate exerts minimal influence on the yield angle. Conversely, the axial pressure impedes the development of this angle, yet has no discernible impact on the damage limit angle. A high reinforcement rate can enhance the dynamic response of the structure. The shear-span ratio and impact velocity are the most pivotal factors affecting the impact shear force.</p>
APA, Harvard, Vancouver, ISO, and other styles
4

Ouahouah, Sihem, Jonathan Prados-Garzon, Tarik Taleb, and Chafika Benzaid. "Energy-aware Collision Avoidance stochastic Optimizer for a UAVs set." In 2020 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2020. http://dx.doi.org/10.1109/iwcmc48107.2020.9148495.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Paparella, Francesco, Gaetano Volpe, Agostino Marcello Mangini, and Maria Pia Fanti. "Collision Avoidance Strategy for Autonomous Intersection Management by a Central Optimizer Algorithm." In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2023. http://dx.doi.org/10.1109/smc53992.2023.10394341.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Singh, Umesh, Rizwan Pathan, Amol Joshi, Adrien Cavé, and Antonin Baume. "Optimized Design of Collision Free Wells: A Comprehensive Approach to Various Trajectory Types." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222692-ms.

Full text
Abstract:
Abstract The primary objective of this research is to design collision free and economical well trajectories in a crowded brownfield oil and gas field with numerous legacy wells. This design includes various types of trajectories, such as directional and sidetrack wells. Another key goal is the strategic positioning of Electrical Submersible Pumps (ESPs) along the wellbore trajectories to enhance production efficiency and reduce drilling costs. The research also emphasizes operational safety and environmental management by avoiding collisions with existing wells. The approach involves developing a comprehensive method for generating optimized well trajectories in oil and gas drilling operations. This method incorporates the minimum curvature method and evolutionary modeling techniques to dynamically adjust and optimize trajectories. Geological, engineering, and operational parameters are integrated to develop trajectories that minimize drilling complexity and cost. Safety constraints are included in the optimization process to ensure collision avoidance with existing wells, thereby safeguarding operational integrity and preventing environmental hazards such as oil spills. The developed optimization method was tested in live oil and gas fields, specifically involving the design of 36 wells in Africa. The solutions resulted in significant length savings of 3.3 km and a substantial 13- fold reduction in collision risks. Additionally, the method successfully generated various safe sidetrack and deepening well trajectory designs accepted by drilling engineers. It also achieved automated ESP placement within the well trajectories. These results demonstrate the method’s effectiveness in optimizing various well trajectories, minimizing drilling complexity, and adhering to safety constraints. The research findings highlight both the cost effectiveness and safety improvements achieved. Overall, this research significantly advances well trajectory design methodologies. It introduces a novel approach for generating collision free, optimized well trajectories of different types, including vertical, directional, and specialized sidetrack and deepening well trajectories. The method can also optimize ESP placement within the trajectories. Unlike traditional methods that depend heavily on a designer’s experience and intuition, this approach utilizes evolutionary modeling techniques to dynamically generate well trajectories. By incorporating geological, engineering, and operational parameters, the method aims to minimize drilling complexity and cost while ensuring adherence to safety constraints.
APA, Harvard, Vancouver, ISO, and other styles
7

Nash, Grant S., Jason C. Ross, Basant K. Parida, Abdullatif K. Zaouk, and Swamidas K. (John) Punwani. "Variable Directivity Acoustical Warning Device (AWD) as an Optimized Locomotive Horn." In ASME 2012 Rail Transportation Division Fall Technical Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/rtdf2012-9438.

Full text
Abstract:
It is estimated that up to 9.3 million people may be impacted by locomotive horn noise and up to 4.6 million of those may be severely impacted.1 In 2009, there were over 1,900 incidents, over 700 injuries, and over 240 fatalities at highway-rail grade crossings.2 Approximately 4,000 times per year, a train and highway vehicle collide at one of over 262,000 public and private highway-rail grade crossings in the United States. Compared to a collision between two highway vehicles, a collision with a train is eleven times more likely to result in a fatality, and five and a half times more likely to result in a disabling injury. Approximately half of all collisions occur at grade crossings that are not fully equipped with warning devices. Some of the drivers involved in these collisions may have been unaware of the approaching train.3 The National Academy of Engineering Committee on Technology for a Quieter America has indicated that the public would benefit if a train horn was more directional and has recommended that research and development be undertaken to better understand the effects on safety, with benefits to the public.4 As a part of an ongoing Federal Railroad Administration (FRA)-sponsored research and development effort, the authors have developed an Acoustical Warning Device (AWD) prototype with an overall goal of maximizing safety at a grade crossing and minimizing environmental noise pollution (at the wayside and in the cabin of a locomotive in reducing railroad worker occupational hazard noise exposure). An initial prototype was created that consisted of one acoustical element. An advanced prototype is currently being developed with three acoustical elements to provide variable directivity and steering capabilities through beamforming. A digitized horn signal has been created based on characteristics from an analog air-pressure locomotive horn. The initial AWD prototype has been analyzed for detectability and noise impact area and the directivity pattern of its sound emissions have been tested. The expected performance of the advanced three-unit prototype has been evaluated based on the test results of the initial prototype and acoustic simulation modeling. During development of the initial AW D prototype, spectrograms, polar directivity plots, frequency response plots, 1/3-octave band plots, and LAeq measurements of the AWD propagation were analyzed to ensure proper functionality of the AWD, in accordance with FRA and QinetiQ North America’s (QNA) specifications. Based on acoustic simulation modeling, the advanced AWD prototype is expected to generate sound up to 110 dBA at 100 feet forward of the locomotive. The AWD prototype is expected to improve detectability and reduced environmental noise exposure to the community and locomotive cabin.
APA, Harvard, Vancouver, ISO, and other styles
8

Jing Nie and Wing Shing Wong. "Optimized anti-collision techniques in RFID systems." In 2007 9th IFIP International Conference on Mobile Wireless Communications Networks - (MWCN). IEEE, 2007. http://dx.doi.org/10.1109/icmwcn.2007.4668176.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Bitar, Glenn, Bjorn-Olav H. Eriksen, Anastasios M. Lekkas, and Morten Breivik. "Energy-Optimized Hybrid Collision Avoidance for ASVs." In 2019 18th European Control Conference (ECC). IEEE, 2019. http://dx.doi.org/10.23919/ecc.2019.8795645.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Liu, Hongtao, Jianran Wang, Xiaofang Liu, et al. "Design and Analysis of Elastic-Plastic Collision Post for Railway Vehicles." In 2020 Joint Rail Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/jrc2020-8055.

Full text
Abstract:
Abstract Collision posts have been required at the front end of railway vehicles to provide protection against intrusion under collision in the US market since 1940s, though it is still not a standard required structure in the Europe and Asia markets. In this paper, typical front-end frame with and without collision posts of railway vehicles are compared to illustrate the pros and cons of collision posts in railway vehicles. Then two different front-end frames with collision posts are introduced in detail to discuss how to take the advantages of collision posts and avoid the drawbacks in different applications. In the first design, the collision posts are placed in front of the energy absorbing elements. When collision happens, the collision posts will deform first before the energy absorbing elements act. As a result, the collision posts and many carbody and cab structures, such as the front-end frame, underframe, cab interior and operator console may under repair even the collision speed is low. However, more space can be utilized for the cab and passenger compartment since the collision posts can be located at the very front of the vehicle. In the second design, there are two stages of energy absorbing elements and the collision posts are placed in the middle. The first stage of energy absorbing elements can absorb low-speed collision energy without damaging other structures and can be replaced easily. To make up for the extra space taken by the first stage energy absorbing elements, the shape and dimension of the collision posts have to be optimized. For both designs, finite element analysis has been used to analyze and optimize the design. Then full-scale test specimens are manufactured and tested to further validate the design and analysis. Based on the design, analysis and test results, an overall evaluation of collision post’s role in passenger protection and vehicle design has been generated.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Collision Optimizer' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography