15.3.1.8.10 Overtaking Analysis, Control

Chapter Contents (Back)
Cruise Control. Overtaking. Driver Assistance.
See also Adaptive Cruise Control.
See also Eco-Driving.

Zhu, Y., Comaniciu, D., Pellkofer, M., Koehler, T.,
Reliable Detection of Overtaking Vehicles Using Robust Information Fusion,
ITS(7), No. 4, December 2006, pp. 401-414.
IEEE DOI 0701
BibRef

Sakurai, K.[Kazuyuki], Kyo, S.[Shorin], Okazaki, S.[Shin'ichiro],
Overtaking Vehicle Detection Method and Its Implementation Using IMAPCAR Highly Parallel Image Processor,
IEICE(E91-D), No. 7, July 2008, pp. 1899-1905.
DOI Link 0807
BibRef

Naranjo, J.E., Gonzalez, C., Garcia, R., de Pedro, T.,
Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver,
ITS(9), No. 3, September 2008, pp. 438-450.
IEEE DOI 0809
BibRef

Wang, F., Yang, M., Yang, R.,
Conflict-Probability-Estimation-Based Overtaking for Intelligent Vehicles,
ITS(10), No. 2, June 2009, pp. 366-370.
IEEE DOI 0906
Use dynamic vehicle models to determin safety probability. BibRef

Ngai, D.C.K., Yung, N.H.C.,
A Multiple-Goal Reinforcement Learning Method for Complex Vehicle Overtaking Maneuvers,
ITS(12), No. 2, June 2011, pp. 509-522.
IEEE DOI 1101
BibRef

Younsi, K., Loslever, P., Popieul, J.C., Simon, P.,
Fuzzy Segmentation for the Exploratory Analysis of Multidimensional Signals: Example From a Study on Driver Overtaking Behavior,
SMC-A(41), No. 5, September 2011, pp. 892-904.
IEEE DOI 1109
BibRef

Llorca, C., Garcia, A., Moreno, A.T., Perez-Zuriaga, A.M.,
Influence of age, gender and delay on overtaking dynamics,
IET-ITS(7), No. 2, 2013, pp. -.
DOI Link 1307
BibRef

Castillo, E., Calvino, A., Sanchez-Cambronero, S., Lo, H.K.,
A Multiclass User Equilibrium Model Considering Overtaking Across Classes,
ITS(14), No. 2, 2013, pp. 928-942.
IEEE DOI 1307
Motorcycles; overtaking BibRef

Petrov, P., Nashashibi, F.,
Modeling and Nonlinear Adaptive Control for Autonomous Vehicle Overtaking,
ITS(15), No. 4, August 2014, pp. 1643-1656.
IEEE DOI 1410
adaptive control BibRef

Guzmán, P.[Pablo], Díaz, J.[Javier], Ralli, J.[Jarno], Agís, R.[Rodrigo], Ros, E.[Eduardo],
Low-cost sensor to detect overtaking based on optical flow,
MVA(25), No. 3, April 2014, pp. 699-711.
Springer DOI 1404
BibRef

Llorca, C., Moreno, A.T., Garcia, A.,
Modelling vehicles acceleration during overtaking manoeuvres,
IET-ITS(10), No. 3, 2016, pp. 206-215.
DOI Link 1604
accident prevention BibRef

Abe, G., Sato, K., Itoh, M.,
Driver Trust in Automated Driving Systems: The Case of Overtaking and Passing,
HMS(48), No. 1, February 2018, pp. 85-94.
IEEE DOI 1801
Automation, Bicycles, Control systems, Manuals, Motorcycles, Timing, Automated driving, human automation interaction, human factors, trust BibRef

Dixit, S., Montanaro, U., Dianati, M., Oxtoby, D., Mizutani, T., Mouzakitis, A., Fallah, S.,
Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC,
ITS(21), No. 6, June 2020, pp. 2310-2323.
IEEE DOI 2006
Trajectory, Planning, Roads, Vehicle dynamics, Collision avoidance, Lead, Autonomous vehicles, Trajectory planning, autonomous vehicles BibRef

Karlsson, J., Murgovski, N., Sjöberg, J.,
Computationally Efficient Autonomous Overtaking on Highways,
ITS(21), No. 8, August 2020, pp. 3169-3183.
IEEE DOI 2008
Trajectory, Optimal control, Roads, Quadratic programming, Autonomous vehicles, Force, Autonomous vehicles, control systems, intelligent transportation systems BibRef

Chai, R.[Runqi], Tsourdos, A.[Antonios], Savvaris, A.[Al], Chai, S.[Senchun], Xia, Y.Q.[Yuan-Qing], Chen, C.L.P.[C. L. Philip],
Multiobjective Overtaking Maneuver Planning for Autonomous Ground Vehicles,
Cyber(51), No. 8, August 2021, pp. 4035-4049.
IEEE DOI 2108
Optimization, Planning, Trajectory, Land vehicles, Heuristic algorithms, Roads, Cybernetics, Autonomous vehicle (AV), swarm intelligence BibRef

Xie, S.T.[Song-Tao], Hu, J.Y.[Jun-Yan], Bhowmick, P.[Parijat], Ding, Z.T.[Zheng-Tao], Arvin, F.[Farshad],
Distributed Motion Planning for Safe Autonomous Vehicle Overtaking via Artificial Potential Field,
ITS(23), No. 11, November 2022, pp. 21531-21547.
IEEE DOI 2212
Autonomous vehicles, Planning, Vehicle dynamics, Target tracking, Heuristic algorithms, Protocols, Dynamics, Motion planning, distributed systems BibRef

Huang, P.[Ping], Zhang, L.[Lin], Chen, H.[Hong], Ding, H.T.[Hai-Tao], Cao, J.[Jianyong],
Event-triggered optimisation of overtaking decision-making strategy for autonomous driving on highway,
IET-ITS(16), No. 12, 2022, pp. 1794-1808.
DOI Link 2212
BibRef


Tseng, C., Liao, C., Shen, P., Guo, J.,
Using C3D to Detect Rear Overtaking Behavior,
ICIP19(151-154)
IEEE DOI 1910
Deep learning, behavior recognition, fast labeling tool, ezLabel BibRef

Rameau, F.[Francois], Ha, H.W.[Hyo-Won], Joo, K.[Kyungdon], Choi, J.[Jinsoo], Kweon, I.S.[In So],
A Real-Time Vehicular Vision System to Seamlessly See-Through Cars,
ACVR16(II: 209-222).
Springer DOI 1611
Prevent overtaking accidents. BibRef

Mota, S., Ros Vidal, E.[Eduardo], Díaz, J., Agís, R., Rodriguez, R., Carrillo, R.,
Dealing with the Perspective Distortion to Detect Overtaking Cars for Driving Assistance,
IbPRIA07(I: 137-144).
Springer DOI 0706
BibRef

Tistarelli, M., Guarnotta, F., Rizzieri, D., Tarocchi, F.,
Application of optical flow for automated overtaking control,
WACV94(105-112).
IEEE Abstract. 0403
BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Parking Assistance, Automatic Parking .


Last update:Mar 16, 2024 at 20:36:19