15.3.3.8.2 Collision Avoidance, Collision Detection, Vehicles, Objects on the Road

Tanzmeister, G., Wollherr, D.,
Evidential Grid-Based Tracking and Mapping,
ITS(18), No. 6, June 2017, pp. 1454-1467.
IEEE DOI 1706
Atmospheric measurements, Particle measurements, Radar tracking, Robot sensing systems, Uncertainty, Vehicle dynamics, Vehicles, Autonomous vehicles, evidential occupancy grids, mapping tracking BibRef

Bahram, M., Hubmann, C., Lawitzky, A., Aeberhard, M., Wollherr, D.,
A Combined Model- and Learning-Based Framework for Interaction-Aware Maneuver Prediction,
ITS(17), No. 6, June 2016, pp. 1538-1550.
IEEE DOI 1606
Dynamics BibRef

Li, Z.B.[Zhi-Bin], Wang, W.[Wei], Chen, R.[Ruoyun], Liu, P.[Pan],
Conditional inference tree-based analysis of hazardous traffic conditions for rear-end and sideswipe collisions with implications for control strategies on freeways,
IET-ITS(8), No. 6, September 2014, pp. 509-518.
DOI Link 1411
collision avoidance BibRef

Lin, C.F.[Ching-Fu], Juang, J.C.[Jyh-Ching], Li, K.R.[Kun-Rui],
Active collision avoidance system for steering control of autonomous vehicles,
IET-ITS(8), No. 6, September 2014, pp. 550-557.
DOI Link 1411
collision avoidance BibRef

Takada, S., Hiraoka, T., Kawakami, H.,
Effectiveness of forward obstacles collision warning system based on deceleration for collision avoidance,
IET-ITS(8), No. 6, September 2014, pp. 570-579.
DOI Link 1411
alarm systems BibRef

Mukhtar, A., Xia, L.[Likun], Tang, T.B.[Tong Boon],
Vehicle Detection Techniques for Collision Avoidance Systems: A Review,
ITS(16), No. 5, October 2015, pp. 2318-2338.
IEEE DOI 1511
Survey, Collicion Avoidance. collision avoidance BibRef

Tak, S.[Sehyun], Kim, S.H.[Sung-Hoon], Yeo, H.[Hwasoo],
Development of a Deceleration-Based Surrogate Safety Measure for Rear-End Collision Risk,
ITS(16), No. 5, October 2015, pp. 2435-2445.
IEEE DOI 1511
collision avoidance BibRef

Cao, T.[Teng], Xiang, Z.Y.[Zhi-Yu], Liu, J.L.[Ji-Lin],
Perception in Disparity: An Efficient Navigation Framework for Autonomous Vehicles With Stereo Cameras,
ITS(16), No. 5, October 2015, pp. 2935-2948.
IEEE DOI 1511
collision avoidance BibRef

Na, X.X.[Xiao-Xiang], Cole, D.J.,
Game-Theoretic Modeling of the Steering Interaction Between a Human Driver and a Vehicle Collision Avoidance Controller,
HMS(45), No. 1, February 2015, pp. 25-38.
IEEE DOI 1502
collision avoidance BibRef

Na, X.X.[Xiao-Xiang], Cole, D.J.,
Application of Open-Loop Stackelberg Equilibrium to Modeling a Driver's Interaction with Vehicle Active Steering Control in Obstacle Avoidance,
HMS(47), No. 5, October 2017, pp. 673-685.
IEEE DOI 1709
Collision avoidance, Games, Mathematical model, Optimization, Vehicle dynamics, Vehicles, Wheels, Active front steering (AFS), driver, game theory, modeling, vehicle BibRef

Jimenez, F., Naranjo, J.E., Gomez, O.,
Autonomous collision avoidance system based on accurate knowledge of the vehicle surroundings,
IET-ITS(9), No. 1, 2015, pp. 105-117.
DOI Link 1503
collision avoidance BibRef

Heesen, M., Dziennus, M., Hesse, T., Schieben, A., Brunken, C., Loper, C., Kelsch, J., Baumann, M.,
Interaction design of automatic steering for collision avoidance: challenges and potentials of driver decoupling,
IET-ITS(9), No. 1, 2015, pp. 95-104.
DOI Link 1503
collision avoidance BibRef

Velez, G.[Gorka], Cortés, A.[Ainhoa], Nieto, M.[Marcos], Vélez, I.[Igone], Otaegui, O.[Oihana],
A reconfigurable embedded vision system for advanced driver assistance,
RealTimeIP(10), No. 4, December 2015, pp. 725-739.
Springer DOI 1512
BibRef

Velez, G.[Gorka], Otaegui, O.[Oihana],
Embedding vision-based advanced driver assistance systems: a survey,
IET-ITS(11), No. 3, April 2017, pp. 103-112.
DOI Link 1705
BibRef

Nieto, M., Otaegui, O.[Oihana], Velez, G.[Gorka], Ortega, J.D., Cortés, A.[Ainhoa],
On creating vision-based advanced driver assistance systems,
IET-ITS(9), No. 1, 2015, pp. 59-66.
DOI Link 1503
collision avoidance BibRef

Salzer, Y., Oron-Gilad, T.,
Evaluation of an 'On-Thigh' Vibrotactile Collision Avoidance Alerting Component in a Simulated Flight Mission,
HMS(45), No. 2, April 2015, pp. 251-255.
IEEE DOI 1503
Accuracy BibRef

Soudbakhsh, D., Eskandarian, A.,
Steering control collision avoidance system and verification through subject study,
IET-ITS(9), No. 10, 2015, pp. 907-915.
DOI Link 1512
accident prevention BibRef

Erlien, S.M., Fujita, S., Gerdes, J.C.,
Shared Steering Control Using Safe Envelopes for Obstacle Avoidance and Vehicle Stability,
ITS(17), No. 2, February 2016, pp. 441-451.
IEEE DOI 1602
Collision avoidance BibRef

Rajala, M., Ritala, R.,
Situation Awareness Framework for Multi-Machine Environments: An Application to Operator Assistive Collision Warning System,
ITS(17), No. 2, February 2016, pp. 336-345.
IEEE DOI 1602
Observers BibRef

Wang, J., Yu, C., Li, S.E., Wang, L.,
A Forward Collision Warning Algorithm With Adaptation to Driver Behaviors,
ITS(17), No. 4, April 2016, pp. 1157-1167.
IEEE DOI 1604
Adaptation models BibRef

Liu, Z., Wang, H., Chen, W., Yu, J., Chen, J.,
An Incidental Delivery Based Method for Resolving Multirobot Pairwised Transportation Problems,
ITS(17), No. 7, July 2016, pp. 1852-1866.
IEEE DOI 1608
design engineering BibRef

de Lima, D.A.[D. Alves], Victorino, A.C.[A. Corrêa],
A Hybrid Controller for Vision-Based Navigation of Autonomous Vehicles in Urban Environments,
ITS(17), No. 8, August 2016, pp. 2310-2323.
IEEE DOI 1608
Collision avoidance BibRef

Sun, J., Sun, J.,
Real-time crash prediction on urban expressways: identification of key variables and a hybrid support vector machine model,
IET-ITS(10), No. 5, 2016, pp. 331-337.
DOI Link 1608
learning (artificial intelligence) BibRef

Mammeri, A., Zhou, D., Boukerche, A.,
Animal-Vehicle Collision Mitigation System for Automated Vehicles,
SMCS(46), No. 9, September 2016, pp. 1287-1299.
IEEE DOI 1609
Animals BibRef

Savino, G., Giovannini, F., Fitzharris, M., Pierini, M.,
Inevitable Collision States for Motorcycle-to-Car Collision Scenarios,
ITS(17), No. 9, September 2016, pp. 2563-2573.
IEEE DOI 1609
Acceleration BibRef

Wang, X., Chen, M., Zhu, M., Tremont, P.,
Development of a Kinematic-Based Forward Collision Warning Algorithm Using an Advanced Driving Simulator,
ITS(17), No. 9, September 2016, pp. 2583-2591.
IEEE DOI 1609
Brakes BibRef

Lee, D., Yeo, H.,
Real-Time Rear-End Collision-Warning System Using a Multilayer Perceptron Neural Network,
ITS(17), No. 11, November 2016, pp. 3087-3097.
IEEE DOI 1609
Kinematics BibRef

Lee, D., Kim, S., Tak, S., Yeo, H.,
Real-Time Feed-Forward Neural Network-Based Forward Collision Warning System Under Cloud Communication Environment,
ITS(20), No. 12, December 2019, pp. 4390-4404.
IEEE DOI 2001
Real-time systems, Delays, Vehicles, Cloud computing, Neural networks, Acceleration, Roads, feed-forward neural network BibRef

Chen, L.W., Chou, P.C.,
BIG-CCA: Beacon-Less, Infrastructure-Less, and GPS-Less Cooperative Collision Avoidance Based on Vehicular Sensor Networks,
SMCS(46), No. 11, November 2016, pp. 1518-1528.
IEEE DOI 1609
cooperative communication BibRef

Johansen, T.A., Perez, T., Cristofaro, A.,
Ship Collision Avoidance and COLREGS Compliance Using Simulation-Based Control Behavior Selection With Predictive Hazard Assessment,
ITS(17), No. 12, December 2016, pp. 3407-3422.
IEEE DOI 1612
Collision avoidance BibRef

Girbés, V., Armesto, L., Dols, J., Tornero, J.,
An Active Safety System for Low-Speed Bus Braking Assistance,
ITS(18), No. 2, February 2017, pp. 377-387.
IEEE DOI 1702
Accidents BibRef

Liu, L.C., Fang, C.Y., Chen, S.W.,
A Novel Distance Estimation Method Leading a Forward Collision Avoidance Assist System for Vehicles on Highways,
ITS(18), No. 4, April 2017, pp. 937-949.
IEEE DOI 1704
Adaptive optics BibRef

Chang, B.J.[Ben-Jye], Yu, B.H.[Bo-Han], Liang, Y.H.[Ying-Hsin],
Colouring vehicle threat and minimising threat avoidance trajectory cost for adaptive vehicle collision defence system in active safe driving,
IET-ITS(11), No. 6, August 2017, pp. 309-318.
DOI Link 1707
BibRef

Hiraoka, T., Takada, S.,
Improvement of Evaluation Indices for Rear-End Collision Risk,
HMS(48), No. 1, February 2018, pp. 102-109.
IEEE DOI 1801
Acceleration, Accidents, Alarm systems, Collision avoidance, Man-machine systems, Vehicles, Velocity measurement, reaction time BibRef

Shahriari, M., Biglarbegian, M.,
A New Conflict Resolution Method for Multiple Mobile Robots in Cluttered Environments With Motion-Liveness,
Cyber(48), No. 1, January 2018, pp. 300-311.
IEEE DOI 1801
Collision avoidance, Mobile robots, Path planning, Real-time systems, Robot kinematics, System recovery, multiple mobile robots (MMRs) BibRef

Song, W., Yang, Y., Fu, M., Qiu, F., Wang, M.,
Real-Time Obstacles Detection and Status Classification for Collision Warning in a Vehicle Active Safety System,
ITS(19), No. 3, March 2018, pp. 758-773.
IEEE DOI 1804
Automobiles, Cameras, Dynamics, Heuristic algorithms, Real-time systems, Safety, Vehicle dynamics, Autonomous vehicle, stereo vision BibRef

Xiong, X., Chen, L., Liang, J.,
A New Framework of Vehicle Collision Prediction by Combining SVM and HMM,
ITS(19), No. 3, March 2018, pp. 699-710.
IEEE DOI 1804
Accidents, Hidden Markov models, Predictive models, Roads, Safety, Support vector machines, Vehicles, vehicle safety BibRef

Lang, A.[Armin],
Evaluation of an Intelligent Collision Warning System for Forklift Truck Drivers in Industry,
DHM18(610-622).
Springer DOI 1807
BibRef

Singhal, A.[Abhishek], Kamga, C.[Camille], Agrawal, A.K.[Anil Kumar],
LADAR-based collision warning sensor to prevent over-height vehicle bridge hits,
IET-ITS(12), No. 7, September 2018, pp. 689-695.
DOI Link 1808
BibRef

Kim, J., Kum, D.,
Collision Risk Assessment Algorithm via Lane-Based Probabilistic Motion Prediction of Surrounding Vehicles,
ITS(19), No. 9, September 2018, pp. 2965-2976.
IEEE DOI 1809
Trajectory, Roads, Probabilistic logic, Computational modeling, Uncertainty, Prediction algorithms, Predictive models, NGSIM trajectory database BibRef

Singh, A.S.P., Nishihara, O.,
Nondimensionalized Univariate Equation Characterizing Optimal State Feedback Control for Collision Avoidance,
ITS(19), No. 10, October 2018, pp. 3344-3359.
IEEE DOI 1810
Collision avoidance, Tires, Force, Optimal control, Friction, State feedback, Mathematical model, Autonomous vehicle, vehicle dynamics BibRef

Zheng, F., Shao, L., Han, J.,
Robust and Long-Term Object Tracking With an Application to Vehicles,
ITS(19), No. 10, October 2018, pp. 3387-3399.
IEEE DOI 1810
Target tracking, Robustness, Adaptation models, Intelligent vehicles, Visualization, Object tracking, BibRef

Masuda, S.[Satoshi], Nakamura, H.[Hiroaki], Kajitani, K.[Kohichi],
Rule-based searching for collision test cases of autonomous vehicles simulation,
IET-ITS(12), No. 9, November 2018, pp. 1088-1095.
DOI Link 1810
BibRef

Li, Y.[Yishan], Guo, Z.Q.[Zhi-Qiang], Yang, J.[Jie], Fang, H.[Hui], Hu, Y.[Yongwu],
Prediction of ship collision risk based on CART,
IET-ITS(12), No. 10, December 2018, pp. 1345-1350.
DOI Link 1812
BibRef

Iranmanesh, S.M., Nourkhiz Mahjoub, H., Kazemi, H., Fallah, Y.P.,
An Adaptive Forward Collision Warning Framework Design Based on Driver Distraction,
ITS(19), No. 12, December 2018, pp. 3925-3934.
IEEE DOI 1812
Vehicles, Adaptation models, Adaptive systems, Vehicle crash testing, Roads, Advanced driver assistance systems, false warning reduction BibRef

Zhao, Z., Zhou, L., Luo, Y., Li, K.,
Emergency Steering Evasion Assistance Control Based on Driving Behavior Analysis,
ITS(20), No. 2, February 2019, pp. 457-475.
IEEE DOI 1902
Vehicles, Torque, Collision avoidance, Analytical models, Wheels, Sensor systems, Collision avoidance, driver preview model, emergency steering evasion assistance BibRef

Liu, Y.[Yang], Wang, Z.L.[Zhong-Li], Cai, B.G.[Bai-Gen],
Investigation of a DSRC-based end of queue collision warning system by considering real freeway data,
IET-ITS(13), No. 1, January 2019, pp. 108-114.
DOI Link 1901
BibRef

Hwang, Y., Choi, S.B.,
Adaptive Collision Avoidance Using Road Friction Information,
ITS(20), No. 1, January 2019, pp. 348-361.
IEEE DOI 1901
Roads, Friction, Wheels, Uncertainty, Tires, Force, Collision avoidance, Collision avoidance, threat assessment, situation awareness, autonomous emergency braking BibRef

Chen, C., Liu, X., Chen, H., Li, M., Zhao, L.,
A Rear-End Collision Risk Evaluation and Control Scheme Using a Bayesian Network Model,
ITS(20), No. 1, January 2019, pp. 264-284.
IEEE DOI 1901
Sensors, Vehicles, Safety, Collision avoidance, Bayes methods, Reliability, Numerical models, Intelligent transportation system, Kalman filter BibRef

Yin, Z.C.[Zhang-Cai], Liu, H.[Hui], Zhang, Z.J.[Zhi-Jun], Jin, Z.H.N.[Zhang-Hao-Nan], Li, S.J.[San-Juan], Xiao, J.Q.A.[Jia-Qi-Ang],
Probabilistic Model of Random Encounter in Obstacle Space,
IJGI(8), No. 1, 2019, pp. xx-yy.
DOI Link 1901
BibRef

Kilicarslan, M., Zheng, J.Y.,
Predict Vehicle Collision by TTC From Motion Using a Single Video Camera,
ITS(20), No. 2, February 2019, pp. 522-533.
IEEE DOI 1902
Cameras, Roads, Radar tracking, Tracking, Merging, Vehicles, ADAS, TTC, collision avoidance, driving video, computer vision, spatial-temporal filtering BibRef

Fang, Z., Yu, H., Ke, R., Shaw, S., Peng, G.,
Automatic Identification System-Based Approach for Assessing the Near-Miss Collision Risk Dynamics of Ships in Ports,
ITS(20), No. 2, February 2019, pp. 534-543.
IEEE DOI 1902
Marine vehicles, Accidents, Artificial intelligence, Estimation, Mathematical model, Risk analysis, Oceans, Geospatial analysis, time series analysis BibRef

Park, B.S., Yoo, S.J.,
An Error Transformation Approach for Connectivity-Preserving and Collision-Avoiding Formation Tracking of Networked Uncertain Underactuated Surface Vessels,
Cyber(49), No. 8, August 2019, pp. 2955-2966.
IEEE DOI 1905
Collision avoidance, Heuristic algorithms, Switches, Topology, Lyapunov methods, Surges, Cybernetics, Collision avoidance, underactuated surface vessels (USVs) BibRef

Chen, M.L.[Mao-Lin], Zhan, X.Q.[Xing-Qun], Zhang, X.[Xin], Pan, W.C.[Wei-Chuan],
Localisation-based autonomous vehicle rear-end collision avoidance by emergency steering,
IET-ITS(13), No. 7, July 2019, pp. 1078-1087.
DOI Link 1906
BibRef

Zhai, W.X.[Wei-Xin], Tong, X.C.[Xiao-Chong], Miao, S.X.[Shuang-Xi], Cheng, C.Q.[Cheng-Qi], Ren, F.[Fuhu],
Collision Detection for UAVs Based on GeoSOT-3D Grids,
IJGI(8), No. 7, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Xia, Y.J.[Ying-Ji], Gao, Y.H.[Yu-Hong], Tian, J.[Jing], Liu, T.Z.[Tian-Ze],
Video-based method for detecting potential risks among multiple electric bikes,
IET-ITS(13), No. 9, September 2019, pp. 1440-1446.
DOI Link 1908
BibRef

Wang, H., Huang, Y., Khajepour, A., Zhang, Y., Rasekhipour, Y., Cao, D.,
Crash Mitigation in Motion Planning for Autonomous Vehicles,
ITS(20), No. 9, September 2019, pp. 3313-3323.
IEEE DOI 1909
Accidents, Planning, Automobiles, Roads, Autonomous vehicles, Heuristic algorithms, Vehicle dynamics, Crash mitigation, safety BibRef

Qi, B.B.[Bin-Bin], Pang, M.Y.[Ming-Yong],
An enhanced sweep and prune algorithm for multi-body continuous collision detection,
VC(35), No. 11, November 2018, pp. 1503-1515.
WWW Link. 1911
BibRef

Suhr, J.K., Jung, H.G.,
Rearview Camera-Based Stixel Generation for Backing Crash Prevention,
ITS(21), No. 1, January 2020, pp. 117-134.
IEEE DOI 2001
Cameras, Accidents, Roads, Lenses, Estimation, Sensors, Rearview camera, backing crash, Stixel World BibRef

Fu, Y., Li, C., Luan, T.H., Zhang, Y., Yu, F.R.,
Graded Warning for Rear-End Collision: An Artificial Intelligence-Aided Algorithm,
ITS(21), No. 2, February 2020, pp. 565-579.
IEEE DOI 2002
Vehicles, Risk management, Prediction algorithms, Trajectory, Artificial neural networks, Collision avoidance, graded warning strategy BibRef

Liu, Z.L.[Zhao-Lin], Chen, J.Q.[Ji-Qing], Lan, F.C.[Feng-Chong], Xia, H.Y.[Hong-Yang],
Methodology of hierarchical collision avoidance for high-speed self-driving vehicle based on motion-decoupled extraction of scenarios,
IET-ITS(14), No. 3, March 2020, pp. 172-181.
DOI Link 2003
BibRef

Pedrielli, G., Xing, Y., Peh, J.H., Koh, K.W., Ng, S.H.,
A Real Time Simulation Optimization Framework for Vessel Collision Avoidance and the Case of Singapore Strait,
ITS(21), No. 3, March 2020, pp. 1204-1215.
IEEE DOI 2003
Collision avoidance, agent based modeling, meta-model based simulation optimization, multi-objective optimization BibRef

Hu, L., Naeem, W., Rajabally, E., Watson, G., Mills, T., Bhuiyan, Z., Raeburn, C., Salter, I., Pekcan, C.,
A Multiobjective Optimization Approach for COLREGs-Compliant Path Planning of Autonomous Surface Vehicles Verified on Networked Bridge Simulators,
ITS(21), No. 3, March 2020, pp. 1167-1179.
IEEE DOI 2003
Autonomous surface vehicles, collision avoidance, path planning, multi-objective optimisation, COLREGs BibRef

Sun, D.[Dongik], Hwang, S.[Seunghoon], Kim, B.[Byeol], Ahn, Y.[Yonghan], Lee, J.[Joosung], Han, J.[Jeakweon],
Creation of One Excavator as an Obstacle in C-Space for Collision Avoidance during Remote Control of the Two Excavators Using Pose Sensors,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

A proximity sensor for robots,
Spectrum(57), No. 5, May 2020, pp. 10-10.
IEEE DOI 2005
Journal Watch BibRef

Maged, S.A.[Shady A.], Mikhail, B.H.[Bishoy H.],
Deep reinforcement learning collision avoidance using policy gradient optimisation and Q-learning,
IJCVR(10), No. 3, 2020, pp. 260-274.
DOI Link 2005
BibRef

Cheng, S., Li, L., Guo, H., Chen, Z., Song, P.,
Longitudinal Collision Avoidance and Lateral Stability Adaptive Control System Based on MPC of Autonomous Vehicles,
ITS(21), No. 6, June 2020, pp. 2376-2385.
IEEE DOI 2006
Collision avoidance, Brakes, Roads, Friction, Stability criteria, Longitudinal collision avoidance, lateral stability, autonomous vehicles BibRef

Lisowski, J.[Józef],
Game Control Methods Comparison when Avoiding Collisions with Multiple Objects Using Radar Remote Sensing,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Xu, C., Zhao, W., Wang, C.,
An Integrated Threat Assessment Algorithm for Decision-Making of Autonomous Driving Vehicles,
ITS(21), No. 6, June 2020, pp. 2510-2521.
IEEE DOI 2006
Threat assessment, Decision making, Predictive models, Trajectory, Probabilistic logic, Mathematical model, Autonomous vehicles, optimal search BibRef

Djuric, N., Radosavljevic, V., Cui, H., Nguyen, T., Chou, F., Lin, T., Singh, N., Schneider, J.,
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving,
WACV20(2084-2093)
IEEE DOI 2006
Predictive models, Uncertainty, Roads, Hidden Markov models, Task analysis, Sensors, Radar tracking BibRef

Xiang, Y., Huang, S., Li, M., Li, J., Wang, W.,
Rear-End Collision Avoidance-Based on Multi-Channel Detection,
ITS(21), No. 8, August 2020, pp. 3525-3535.
IEEE DOI 2008
Collision avoidance, Radar, Correlation, Detectors, Covariance matrices, Automobiles, Collision avoidance, spatial-temporal correlation BibRef

Mehrish, A., Singh, P., Jain, P., Subramanyam, A.V., Kankanhalli, M.,
Egocentric Analysis of Dash-Cam Videos for Vehicle Forensics,
CirSysVideo(30), No. 9, September 2020, pp. 3000-3014.
IEEE DOI 2009
Videos, Automobiles, Cameras, Accidents, Forensics, Sensors, Privacy, Vehicle forensics, blind deconvolution, bregman iteration, egocentric video analysis BibRef

Wahid, N.[Nurbaiti], Zamzuri, H.[Hairi], Amer, N.H.[Noor H.], Dwijotomo, A.[Abdurahman], Saruchi, S.A.[Sarah Atifah], Mazlan, S.A.[Saiful Amri],
Vehicle collision avoidance motion planning strategy using artificial potential field with adaptive multi-speed scheduler,
IET-ITS(14), No. 10, October 2020, pp. 1200-1209.
DOI Link 2009
BibRef

Deng, L.Y.[Liu-Yuan], Yang, M.[Ming], Li, H.[Hao], Li, T.Y.[Tian-Yi], Hu, B.[Bing], Wang, C.X.[Chun-Xiang],
Restricted Deformable Convolution-Based Road Scene Semantic Segmentation Using Surround View Cameras,
ITS(21), No. 10, October 2020, pp. 4350-4362.
IEEE DOI 2010
Semantics, Cameras, Image segmentation, Convolution, Roads, Distortion, Training, Deformable convolution, semantic segmentation, multi-task learning BibRef

Zeng, D.Q.[De-Quan], Xiong, L.[Lu], Yu, Z.P.[Zhuo-Ping], Chen, Q.P.[Qi-Ping], Fu, Z.Q.[Zhi-Qiang], Li, Z.R.[Zhuo-Ren], Zhang, P.Z.[Pei-Zhi], Xu, P.H.[Pu-Hang], Qian, Z.X.[Zi-Xuan], Xiao, H.Y.[Hong-Yu], Fang, P.Y.[Pei-Yuan], Li, Z.Q.[Zhi-Qiang], Leng, B.[Bo],
A Priority Data Association Policy for Multitarget Tracking on Intelligent Vehicle Risk Assessment,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Luo, J., Wan, Y., Wu, W., Li, Z.,
Optimal Petri-Net Controller for Avoiding Collisions in a Class of Automated Guided Vehicle Systems,
ITS(21), No. 11, November 2020, pp. 4526-4537.
IEEE DOI 2011
Sensor systems, Petri nets, Autonomous vehicles, System recovery, Actuators, Computational modeling, Automated guided vehicle, discrete event system BibRef

Yellapantula, V.R.S., Devika, K.B., Subramanian, S.C.,
Communication Latency and Speed-Dependent Minimum Time Headway for Connected Heavy Road Vehicle Collision Avoidance,
ITS(21), No. 11, November 2020, pp. 4739-4748.
IEEE DOI 2011
Collision avoidance, Brakes, Vehicular ad hoc networks, Vehicle dynamics, Lead, Delays, Safety, Collision avoidance, V2V BibRef

Fu, Q.B.[Qin-Bing], Hu, C.[Cheng], Peng, J.G.[Ji-Gen], Rind, F.C.[F. Claire], Yue, S.G.[Shi-Gang],
A Robust Collision Perception Visual Neural Network With Specific Selectivity to Darker Objects,
Cyber(50), No. 12, December 2020, pp. 5074-5088.
IEEE DOI 2012
Visualization, Collision avoidance, Neurons, Visual systems, Robots, Detectors, Collision perception, darker objects selectivity, neuron model BibRef

Bärgman, J.[Jonas], Victor, T.[Trent],
Holistic assessment of driver assistance systems: how can systems be assessed with respect to how they impact glance behaviour and collision avoidance?,
IET-ITS(14), No. 9, September 2020, pp. 1058-1067.
DOI Link 2008
BibRef

Lyu, F., Cheng, N., Zhu, H., Zhou, H., Xu, W., Li, M., Shen, X.,
Towards Rear-End Collision Avoidance: Adaptive Beaconing for Connected Vehicles,
ITS(22), No. 2, February 2021, pp. 1248-1263.
IEEE DOI 2102
Safety, Bandwidth, Adaptation models, Heuristic algorithms, Vehicle-to-everything, Accidents, Reliability, V2X, safety-awareness BibRef

Bachmann, M., Morold, M., David, K.,
On the Required Movement Recognition Accuracy in Cooperative VRU Collision Avoidance Systems,
ITS(22), No. 3, March 2021, pp. 1708-1717.
IEEE DOI 2103
Collision avoidance, Automobiles, Global navigation satellite system, Protocols, Mobile handsets, V2VRU BibRef

Ro, J.W., Roop, P.S., Malik, A.,
A New Safety Distance Calculation for Rear-End Collision Avoidance,
ITS(22), No. 3, March 2021, pp. 1742-1747.
IEEE DOI 2103
Safety, Mathematical model, Acceleration, Collision avoidance, Vehicle dynamics, Delays, Optimization, algorithm design and analysis BibRef

Saito, Y.[Yoshiaki], Kawashima, K.[Kazumasa], Hirakawa, M.[Masahito],
Acquisition of the Width of a Virtual Body through Collision Avoidance Trials,
IEICE(E104-D), No. 5, May 2021, pp. 741-751.
WWW Link. 2105
BibRef

Kerkaou, Z.[Zakaria], El Ansari, M.[Mohamed], Masmoudi, L.[Lhoussaine], Lahmyed, R.[Redouan],
Dense spatio-temporal stereo matching for intelligent driving systems,
IET-IPR(15), No. 3, 2021, pp. 715-723.
DOI Link 2106
BibRef

Chen, K.[Keji], Yamaguchi, T.[Takuma], Okuda, H.[Hiroyuki], Suzuki, T.[Tatsuya], Guo, X.X.[Xue-Xun],
Realization and Evaluation of an Instructor-Like Assistance System for Collision Avoidance,
ITS(22), No. 5, May 2021, pp. 2751-2760.
IEEE DOI 2105
Vehicles, Collision avoidance, Predictive models, Advanced driver assistance systems, Roads, collision avoidance BibRef

Lazarowska, A.[Agnieszka],
Review of Collision Avoidance and Path Planning Methods for Ships Utilizing Radar Remote Sensing,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Fatima, M.[Mishal], Khan, M.U.K.[Muhammad Umar Karim], Kyung, C.M.[Chong-Min],
Global Feature Aggregation for Accident Anticipation,
ICPR21(2809-2816)
IEEE DOI 2105
Road accidents, Art, Video sequences, Pattern recognition, Vehicle dynamics, Long short term memory, Accidents BibRef

Wang, Y.M.[Yi-Ming], Carletti, M.[Marco], Setti, F.[Francesco], Cristani, M.[Marco], del Bue, A.[Alessio],
Active 3D Classification of Multiple Objects in Cluttered Scenes,
ACVR19(2602-2610)
IEEE DOI 2004
Autonomous agents moving in an environment. active vision, cameras, clutter, image classification, image reconstruction, image representation, object detection, next best view BibRef

Rashed, H., Ramzy, M., Vaquero, V., El Sallab, A., Sistu, G., Yogamani, S.,
FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous Driving,
ADW19(2393-2402)
IEEE DOI 2004
cameras, convolutional neural nets, image motion analysis, image sensors, image sequences, mobile robots, object detection, Low light BibRef

Gutiérrez-Maestro, E.[Eduardo], López-Sastre, R.J.[Roberto J.], Maldonado-Bascón, S.[Saturnino],
Collision Anticipation via Deep Reinforcement Learning for Visual Navigation,
IbPRIA19(I:386-397).
Springer DOI 1910
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Fu, Q.[Qinbing], Yue, S.[Shigang], Hu, C.[Cheng],
Bio-inspired Collision Detector with Enhanced Selectivity for Ground Robotic Vision System,
BMVC16(xx-yy).
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Roggeman, H., Marzat, J., Derome, M.,
Detection, Estimation and Avoidance of Mobile Objects Using Stereo-Vision and Model Predictive Control,
CVUAV17(2090-2099)
IEEE DOI 1802
Graphics processing units, Mobile communication, Mobile robots, Prediction algorithms, Robot sensing systems, BibRef

Manno-Kovacs, A., Kovács, L.,
Lightweight Monocular Obstacle Avoidance by Salient Feature Fusion,
AutoRob17(734-741)
IEEE DOI 1802
Collision avoidance, Feature extraction, Image edge detection, Navigation, Sensors, Training, Visualization BibRef

Kozuka, K., Niebles, J.C.,
Risky Region Localization with Point Supervision,
CVRoads17(246-253)
IEEE DOI 1802
Automobiles, Cameras, Image segmentation, Safety, Semantics, Training BibRef

Cigla, C., Brockers, R., Matthies, L.,
Image-Based Visual Perception and Representation for Collision Avoidance,
ECVW17(421-429)
IEEE DOI 1709
Cameras, Collision avoidance, Computer vision, Image motion analysis, Reliability, Standards, Three-dimensional, displays BibRef

Katyal, K., Wang, I.J., Burlina, P.,
Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks,
DeepLearnRV17(490-491)
IEEE DOI 1709
Collision avoidance, Kinematics, Learning (artificial intelligence), Manipulators, Robot kinematics, Robot, sensing, systems BibRef

Wang, Y., Kato, J.,
Collision Risk Rating of Traffic Scene from Dashboard Cameras,
DICTA17(1-6)
IEEE DOI 1804
feature extraction, image classification, image representation, image sequences, learning (artificial intelligence), Video sequences BibRef

Kilicarslan, M., Zheng, J.Y.,
Bridge motion to collision alarming using driving video,
ICPR16(1870-1875)
IEEE DOI 1705
Belts, Cameras, Computer vision, Image color analysis, Image motion analysis, Roads, Trajectory, collision alarming, image motion, motion profile, spatio-temporal image, time-to-collision BibRef

Yun, K., Lim, J., Yun, S., Kim, S.W., Choi, J.Y.,
Attention-inspired moving object detection in monocular dashcam videos,
ICPR16(2706-2711)
IEEE DOI 1705
Cameras, Computational modeling, Estimation, Motion compensation, Object detection, Roads, Videos BibRef

Chan, F.H.[Fu-Hsiang], Chen, Y.T.[Yu-Ting], Xiang, Y.[Yu], Sun, M.[Min],
Anticipating Accidents in Dashcam Videos,
ACCV16(IV: 136-153).
Springer DOI 1704
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Mou, X., Wang, H.,
Global sparsity potentials for obstacle detection from Unmanned Surface Vehicles,
ICVNZ15(1-6)
IEEE DOI 1701
collision avoidance BibRef

van Beeck, K.[Kristof], Goedemé, T.[Toon],
The Automatic Blind Spot Camera: A Vision-Based Active Alarm System,
CVRoads16(I: 122-135).
Springer DOI 1611
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Schauer, J.[Johannes], Nüchter, A.[Andreas],
Removing non-static objects from 3D laser scan data,
PandRS(143), 2018, pp. 15-38.
Elsevier DOI 1808
BibRef
Earlier:
Efficient point cloud collision detection and analysis in a tunnel environment using kinematic laser scanning and K-D Tree search,
PCV14(289-295).
DOI Link 1404
3D point clouds, Change detection, Moving object detection, Voxel traversal, Post-processing, Sphere quadtree, Terrestrial scans BibRef

Diskin, Y., Asari, V.K.,
Dense 3D point-cloud model using optical flow for a monocular reconstruction system,
AIPR13(1-6)
IEEE DOI 1408
image reconstruction BibRef

Diskin, Y., Nair, B., Braun, A., Duning, S., Asari, V.K.,
Vision-based navigation system for obstacle avoidance in complex environments,
AIPR13(1-8)
IEEE DOI 1408
collision avoidance BibRef

Nieto, M.[Marcos], Ortega, J.D.[Juan Diego], Cortes, A.[Andoni], Gaines, S.[Seán],
Perspective Multiscale Detection and Tracking of Persons,
MMMod14(II: 92-103).
Springer DOI 1405
BibRef

Ortega, J.D.[Juan Diego], Nieto, M.[Marcos], Cortes, A.[Andoni], Florez, J.[Julian],
Perspective Multiscale Detection of Vehicles for Real-Time Forward Collision Avoidance Systems,
ACIVS13(645-656).
Springer DOI 1311
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Pundlik, S.[Shrinivas], Tomasi, M.[Matteo], Luo, G.[Gang],
Collision Detection for Visually Impaired from a Body-Mounted Camera,
IWMV13(41-47)
IEEE DOI 1309
collision warning;mobility aid BibRef

Miranda Neto, A., Victorino, A.C., Fantoni, I., Ferreira, J.V.,
Real-time Collision Risk Estimation based on Pearson's Correlation Coefficient,
WORV13(40-45)
IEEE DOI 1307
collision avoidance BibRef

Polanczyk, M.[Maciej], Baranski, P.[Przemyslaw],
Disparity Map Based Procedure for Collision-Free Guidance through Unknown Environments,
ICCVG12(565-572).
Springer DOI 1210
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Ammar, M.[Moez], Le Hégarat-Mascle, S.[Sylvie], Vasiliu, M.[Marius], Mounier, H.[Hugues],
An A-contrario Approach for Obstacle Detection in Assistance Driving Systems,
ICIAR12(I: 392-401).
Springer DOI 1206

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Lai, J., Ford, J.J., Mejias, L., O'Shea, P., Walker, R.,
Detection versus False Alarm Characterisation of a Vision-Based Airborne Dim-Target Collision Detection System,
DICTA11(448-455).
IEEE DOI 1205
BibRef

Pomares, J.[Jorge], Garcia, G.J.[Gabriel J.], Perea, I.[Ivan], Corrales, J.A.[Juan A.], Jara, C.A.[Carlos A.], Torres, F.[Fernando],
Visual control of a multi-robot coupled system: Application to collision avoidance in human-robot interaction,
RobPerc11(1045-1051).
IEEE DOI 1201
BibRef

Pan, S.M.[Shao-Ming], Cai, Q.Z.[Qi-Zhong], Lao, Y.L.[You-Lan],
The design of embedded vehicle-mounted anti-collision system,
IASP11(542-545).
IEEE DOI 1112
BibRef

Liu, Z.L.[Zhi-Liang], Zhang, D.S.[De-Sheng],
The collision detection algorithm based on bounding volumes and space subdivision,
IASP11(302-304).
IEEE DOI 1112
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Himmelstein, J., Ginioux, G., Ferre, E., Nakhaei, A., Lamiraux, F., Laumond, J.P.,
Efficient architecture for collision detection between heterogeneous data structures application for vision-guided robots,
ICARCV08(522-529).
IEEE DOI 1109
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Sulaiman, H.A.[Hamzah Asyrani], Bade, A.[Abdullah], Daman, D.[Daut], Suaib, N.M.[Norhaida Mohammed],
Hierarchical Approach for Fast and Efficient Collision Detection in Urban Simulation,
IVIC09(50-57).
Springer DOI 0911
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Khan, W., Morris, J., Klette, R.,
Stereo accuracy for collision avoidance,
IVCNZ09(67-72).
IEEE DOI 0911
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Henrich, D.[Dominik], Gecks, T.[Thorsten],
Multi-camera collision detection between known and unknown objects,
ICDSC08(1-10).
IEEE DOI 0809
BibRef

Chang, J.W.[Jung-Woo], Wang, W.P.[Wen-Ping], Kim, M.S.[Myung-Soo],
Efficient Collision Detection Using a Dual Bounding Volume Hierarchy,
GMP08(xx-yy).
Springer DOI 0804
BibRef

Gong, W.J.[Wen-Juan], Tu, C.H.[Chang-He],
Continuous Collision Detection between Two 2-D Curved-Edge Polygons under Rational Motions,
GMP08(xx-yy).
Springer DOI 0804
BibRef

Jang, H.Y.[Han-Young], Jeong, T.S.[Taek-Sang], Han, J.H.[Jung-Hyun],
Image-Space Collision Detection Through Alternate Surface Peeling,
ISVC07(I: 66-75).
Springer DOI 0711
BibRef

Garcia, M., Bayona, S., Toharia, P., Mendoza, C.,
Comparing Sphere-Tree Generators and Hierarchy Updates for Deformable Objects Collision Detection,
ISVC05(167-174).
Springer DOI 0512
BibRef

Liu, P.R.[Pei-Ran], Shen, X.J.[Xiao-Jun], Georganas, N., Roth, G.,
Multi-resolution modeling and locally refined collision detection for haptic interaction,
3DIM05(581-588).
IEEE DOI 0508
BibRef

Krips, M., Velten, J., Kummert, A., Teuner, A.,
AdTM tracking for blind spot collision avoidance,
IVS04(544-548).
IEEE DOI 0411
BibRef

Chang, P.[Peng], Camus, T., Mandelbaum, R.,
Stereo-based vision system for automotive imminent collision detection,
IVS04(274-279).
IEEE DOI 0411
BibRef

Dagan, E., Mano, O., Stein, G.P., Shashua, A.,
Forward collision warning with a single camera,
IVS04(37-42).
IEEE DOI 0411
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Duggins, D., McNeil, S., Mertz, C., Thorpe, C.E., Yata, T.,
Side Collision Warning Systems for Transit Buses: Functional Goals,
CMU-RI-TR-01-11, 2001.
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Chek, T.[Terence], Heng, H.[Hion], Kuno, Y.[Yoshinori], Shirai, Y.[Yoshiaki],
Combination of active sensing and sensor fusion for collision avoidance in mobile robots,
CIAP97(II: 568-575).
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BibRef

Ferryman, J.M., Maybank, S.J., Worrall, A.D.,
Vehicle Tracking with Applications to Collision Alert,
BMVC97(xx-yy).
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Liu, H.C.[Hong-Che], Hong, T.W.[Tsai-Wong], Herman, M., Chellappa, R.,
Image Gradient Evolution: A Visual Cue for Collision Avoidance,
ICPR96(I: 446-450).
IEEE DOI 9608
(US Deptartment of Commerce, USA) BibRef

Bayro-Corrochano, E.[Eduardo], Sommer, G.[Gerald],
Object modelling and collision avoidance using Clifford algebra,
CAIP95(699-704).
Springer DOI 9509
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Kitamura, Y., Takemura, H., Ahuja, N., Kishino, F.,
Efficient collision detection among objects in arbitrary motion using multiple shape representations,
ICPR94(A:390-396).
IEEE DOI 9410
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Obstacles, Objects on the Road Using Radar, Sonar, Active Vision .

Last update:Sep 19, 2021 at 21:11:01