15.3.3.7.1 Other Vehicles

Asayama, Y.[Yoshiaki],
Vehicle-to-vehicle distance detecting apparatus,
US_Patent5,165,108, Nov 17, 1992
WWW Link. User specifies the vehicle. BibRef 9211

Kajiwara, Y.[Yasuya],
Car interval control apparatus,
US_Patent5,177,462, Jan 5, 1993
WWW Link. BibRef 9301

Asayama, Y.[Yoshiaki],
Distance detecting apparatus for a vehicle,
US_Patent5,214,408, May 25, 1993
WWW Link. BibRef 9305

Kuehnle, A.,
Symmetry-Based Recognition of Vehicle Rears,
PRL(12), 1991, pp. 249-258. BibRef 9100

Jefferis, B.[Brian], Morgan, S.D.[Shaun D.],
Vehicle detection systems,
US_Patent5,339,081, Aug 16, 1994
WWW Link. Radar based BibRef 9408

Hibino, K.[Katsuhiko], Kurahashi, A.[Akira], Hashimoto, M.[Mitsufumi],
System for distinguishing a vehicle traveling ahead based on an adjustable probability distribution,
US_Patent5,510,990, Apr 23, 1996
WWW Link. Radar BibRef 9604

Taniguchi, Y.[Yasuhiro],
Moving object detection apparatus and method,
US_Patent5,991,428, Nov 23, 1999
WWW Link. BibRef 9911
And: US_Patent6,456,730, Sep 24, 2002
WWW Link. Vanishing point based BibRef

Sun, Z.H.[Ze-Hang], Bebis, G.N., Miller, R.,
On-Road Vehicle Detection Using Evolutionary Gabor Filter Optimization,
ITS(6), No. 2, June 2005, pp. 125-137.
IEEE Abstract. 0506
BibRef

Sun, Z.H.[Ze-Hang], Bebis, G.N., Miller, R.,
On-Road Vehicle Detection: A Review,
PAMI(28), No. 5, May 2006, pp. 694-711.
IEEE DOI 0604
For driver assistance system. BibRef

Wang, J.X.[Jun-Xian], Bebis, G.N., Miller, R.,
Overtaking Vehicle Detection Using Dynamic and Quasi-Static Background Modeling,
MVIV05(III: 64-64).
IEEE DOI 0507
BibRef

Sun, Z., Bebis, G.N., Miller, R.,
Monocular Precrash Vehicle Detection: Features and Classifiers,
IP(15), No. 7, July 2006, pp. 2019-2034.
IEEE DOI 0606
BibRef

Sun, Z.H.[Ze-Hang], Miller, R., Bebis, G.N., di Meo, D.,
A real-time precrash vehicle detection system,
WACV02(171-176).
IEEE DOI 0303
BibRef

Rad, R.[Roya], Jamzad, M.[Mansour],
Real time classification and tracking of multiple vehicles in highways,
PRL(26), No. 10, 15 July 2005, pp. 1597-1607. 0506
BibRef

Kim, S.Y.[Sam-Yong], Oh, S.Y.[Se-Young],
On-road vehicle detection and tracking based on road context and the ambient lighting adaptive framework,
IJIST(18), No. 5-6, 2008, pp. 283-295.
DOI Link 0804
BibRef

Cherng, S., Fang, C.Y., Chen, C.P., Chen, S.W.,
Critical Motion Detection of Nearby Moving Vehicles in a Vision-Based Driver-Assistance System,
ITS(10), No. 1, March 2009, pp. 70-82.
IEEE DOI 0903
BibRef

Barth, A.[Alexander], Franke, U.[Uwe],
Estimating the Driving State of Oncoming Vehicles From a Moving Platform Using Stereo Vision,
ITS(10), No. 4, December 2009, pp. 560-571.
IEEE DOI 0912
BibRef

O'Malley, R., Glavin, M., Jones, E.,
Vision-based detection and tracking of vehicles to the rear with perspective correction in low-light conditions,
IET-ITS(5), No. 1, 2011, pp. 1-10.
DOI Link 1204
BibRef

Tehrani Niknejad, H., Takeuchi, A., Mita, S., McAllester, D.,
On-Road Multivehicle Tracking Using Deformable Object Model and Particle Filter With Improved Likelihood Estimation,
ITS(13), No. 2, June 2012, pp. 748-758.
IEEE DOI 1206
BibRef

Rubio, J.C., Serrat, J., Lopez, A.M., Ponsa, D.[Daniel],
Multiple-Target Tracking for Intelligent Headlights Control,
ITS(13), No. 2, June 2012, pp. 594-605.
IEEE DOI 1206
BibRef

Arróspide, J.[Jon], Salgado, L.[Luis], Camplani, M.[Massimo],
Image-based on-road vehicle detection using cost-effective Histograms of Oriented Gradients,
JVCIR(24), No. 7, 2013, pp. 1182-1190.
Elsevier DOI 1309
Image analysis BibRef

Arrospide, J.[Jon], Salgado, L.[Luis],
Region-dependent vehicle classification using PCA features,
ICIP12(453-456).
IEEE DOI 1302
BibRef

Arrospide, J.[Jon], Salgado, L.[Luis], Nieto, M.[Marcos], Jaureguizar, F.[Fernando],
On-board robust vehicle detection and tracking using adaptive quality evaluation,
ICIP08(2008-2011).
IEEE DOI 0810

See also Homography-based ground plane detection using a single on-board camera. BibRef

Sivaraman, S., Trivedi, M.M.,
Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis,
ITS(14), No. 4, 2013, pp. 1773-1795.
IEEE DOI 1312
Computer vision BibRef

Li, H., Nashashibi, F., Yang, M.,
Split Covariance Intersection Filter: Theory and Its Application to Vehicle Localization,
ITS(14), No. 4, 2013, pp. 1860-1871.
IEEE DOI 1312
Cooperative systems BibRef

Makris, A., Perrollaz, M., Laugier, C.,
Probabilistic Integration of Intensity and Depth Information for Part-Based Vehicle Detection,
ITS(14), No. 4, 2013, pp. 1896-1906.
IEEE DOI 1312
Bayes methods BibRef

Kim, S., Qin, B., Chong, Z.J., Shen, X., Liu, W., Ang, M.H., Frazzoli, E., Rus, D.,
Multivehicle Cooperative Driving Using Cooperative Perception: Design and Experimental Validation,
ITS(16), No. 2, April 2015, pp. 663-680.
IEEE DOI 1504
Global Positioning System BibRef

Vatavu, A., Danescu, R., Nedevschi, S.,
Stereovision-Based Multiple Object Tracking in Traffic Scenarios Using Free-Form Obstacle Delimiters and Particle Filters,
ITS(16), No. 1, February 2015, pp. 498-511.
IEEE DOI 1502
Geometry BibRef

Hu, W.C.[Wu-Chih], Chen, C.H.[Chao-Ho], Chen, T.Y.[Tsong-Yi], Huang, D.Y.[Deng-Yuan], Wu, Z.C.[Zong-Che],
Moving object detection and tracking from video captured by moving camera,
JVCIR(30), No. 1, 2015, pp. 164-180.
Elsevier DOI 1507
Object detection BibRef

Rezaei, M., Terauchi, M., Klette, R.,
Robust Vehicle Detection and Distance Estimation Under Challenging Lighting Conditions,
ITS(16), No. 5, October 2015, pp. 2723-2743.
IEEE DOI 1511
BibRef

Liu, Y.G.[Yong-Gui], Xu, B.G.[Bu-Gong],
Improved Protocols and Stability Analysis for Multivehicle Cooperative Autonomous Systems,
ITS(16), No. 5, October 2015, pp. 2700-2710.
IEEE DOI 1511
distributed control BibRef

Thomas, S., Deodhare, D., Murty, M.N.,
Extended Conflict-Based Search for the Convoy Movement Problem,
IEEE_Int_Sys(30), No. 6, November 2015, pp. 60-70.
IEEE DOI 1512
military computing BibRef

Sivaraman, S., Trivedi, M.M.,
Vehicle Detection by Independent Parts for Urban Driver Assistance,
ITS(14), No. 4, 2013, pp. 1597-1608.
IEEE DOI 1312
Computer vision
See also Integrated Lane and Vehicle Detection, Localization, and Tracking: A Synergistic Approach. BibRef

Wang, X., Xu, L., Sun, H., Xin, J., Zheng, N.,
On-Road Vehicle Detection and Tracking Using MMW Radar and Monovision Fusion,
ITS(17), No. 7, July 2016, pp. 2075-2084.
IEEE DOI 1608
millimetre wave radar BibRef

Chen, T.[Tao], Lu, S.J.[Shi-Jian],
Robust Vehicle Detection and Viewpoint Estimation With Soft Discriminative Mixture Model,
CirSysVideo(27), No. 2, February 2017, pp. 394-403.
IEEE DOI 1702
Estimation BibRef

Dai, X.R.[Xue-Rui],
HybridNet: A fast vehicle detection system for autonomous driving,
SP:IC(70), 2019, pp. 79-88.
Elsevier DOI 1812
Vehicle detection, CNN, Two-stage, Decision refinement BibRef

Li, Q.H.[Qiao-Hong], Garg, S.[Sahil], Nie, J.T.[Jiang-Tian], Li, X.[Xiang], Liu, R.W.[Ryan Wen], Cao, Z.G.[Zhi-Guang], Hossain, M.S.[M. Shamim],
A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning,
ITS(22), No. 7, July 2021, pp. 4716-4726.
IEEE DOI 2107
Brakes, Deep learning, Feature extraction, Object detection, Real-time systems, Image color analysis, Detectors, vehicle signal detection BibRef

Liu, S.Y.[Shi-Yu], Zhang, H.F.[Hao-Feng], Shao, L.[Ling], Yang, J.Y.[Jing-Yu],
Built-in Depth-Semantic Coupled Encoding for Scene Parsing, Vehicle Detection, and Road Segmentation,
ITS(22), No. 9, September 2021, pp. 5520-5534.
IEEE DOI 2109
Feature extraction, Semantics, Encoding, Vehicle detection, Roads, Correlation, Fuses, Scene parsing, road segmentation BibRef

Wu, Z.Z.[Zi-Zhang], Wang, J.[Jason], Xu, T.H.[Tian-Hao], Wang, F.[Fan],
Detecting owner-member relationship in fisheye camera system with graph convolution network,
PRL(155), 2022, pp. 34-40.
Elsevier DOI 2203
Autonomous driving, Vehicle-mounted perception system, Owner-member relationship of wheels and vehicles, GCN, GAT BibRef

Wei, J.S.[Jian-Sheng], Pan, S.[Shuguo], Gao, W.[Wang], Zhao, T.[Tao],
A dynamic object filtering approach based on object detection and geometric constraint between frames,
IET-IPR(16), No. 6, 2022, pp. 1636-1647.
DOI Link 2204
Moving object detecton to eliminate that part for visual positioning. BibRef

Djenouri, Y.[Youcef], Belhadi, A.[Asma], Srivastava, G.[Gautam], Djenouri, D.[Djamel], Lin, J.C.W.[Jerry Chun-Wei],
Vehicle detection using improved region convolution neural network for accident prevention in smart roads,
PRL(158), 2022, pp. 42-47.
Elsevier DOI 2205
Deep learning, Vehicle detection, Region convolution neural network, Hyper-parameters optimization BibRef

Xiang, Y.F.[Yun-Feng], He, Y.[Yansong], Luo, Y.[Yugong], Bu, D.[Dexu], Kong, W.W.[Wei-Wei], Chen, J.[Jian],
Recognition Model of Sideslip of Surrounding Vehicles Based on Perception Information of Driverless Vehicle,
IEEE_Int_Sys(37), No. 2, March 2022, pp. 79-91.
IEEE DOI 2205
Trajectory, Safety, Estimation, Force, Intelligent systems, Feature extraction, Autonomous vehicles BibRef

Jiao, Y.M.[Yan-Mei], Wang, Y.[Yue], Ding, X.Q.[Xia-Qing], Wang, M.H.[Min-Hang], Xiong, R.[Rong],
Deterministic Optimality for Robust Vehicle Localization Using Visual Measurements,
ITS(23), No. 6, June 2022, pp. 5397-5410.
IEEE DOI 2206
Location awareness, Visualization, Laser radar, Real-time systems, Convergence, Cameras, Vehicle localization, robust visual localization BibRef

Greco, A.[Antonio], Saggese, A.[Alessia], Vento, M.[Mario], Vigilante, V.[Vincenzo],
Vehicles Detection for Smart Roads Applications on Board of Smart Cameras: A Comparative Analysis,
ITS(23), No. 7, July 2022, pp. 8077-8089.
IEEE DOI 2207
Roads, Servers, Streaming media, Smart cameras, Hardware, Visual analytics, Deep learning, Smart roads, detection, deep learning BibRef

Zhang, Z.H.[Zhuan-Hua], Li, K.[Keyi], Zhou, G.J.[Gong-Jian],
State Estimation With Heading Constraints for On-Road Vehicle Tracking,
ITS(23), No. 8, August 2022, pp. 13614-13635.
IEEE DOI 2208
Trajectory, Roads, State estimation, Kalman filters, Target tracking, Numerical models, Transportation, Target tracking, extended Kalman filter (EKF) BibRef

Huang, S.F.[Shang-Feng], Cai, G.R.[Guo-Rong], Wang, Z.Y.[Zong-Yue], Xia, Q.M.[Qi-Ming], Wang, R.S.[Rui-Sheng],
SSA3D: Semantic Segmentation Assisted One-Stage Three-Dimensional Vehicle Object Detection,
ITS(23), No. 9, September 2022, pp. 14764-14778.
IEEE DOI 2209
Point cloud compression, Feature extraction, Semantics, Object detection, Image segmentation, Proposals, LiDAR point clouds BibRef

Song, W.J.[Wen-Jie], Liu, S.X.[Shi-Xian], Zhang, T.[Ting], Yang, Y.[Yi], Fu, M.[Mengyin],
Action-State Joint Learning-Based Vehicle Taillight Recognition in Diverse Actual Traffic Scenes,
ITS(23), No. 10, October 2022, pp. 18088-18099.
IEEE DOI 2210
Feature extraction, Brakes, Time series analysis, Image recognition, Brightness, Hidden Markov models, urban traffic BibRef

Karle, P.[Phillip], Geisslinger, M.[Maximilian], Betz, J.[Johannes], Lienkamp, M.[Markus],
Scenario Understanding and Motion Prediction for Autonomous Vehicles: Review and Comparison,
ITS(23), No. 10, October 2022, pp. 16962-16982.
IEEE DOI 2210
Predictive models, Trajectory, Autonomous vehicles, Vehicles, Vehicle dynamics, Mathematical models, Dynamics, review BibRef

Ghorai, P.[Prasenjit], Eskandarian, A.[Azim], Kim, Y.K.[Young-Keun], Mehr, G.[Goodarz],
State Estimation and Motion Prediction of Vehicles and Vulnerable Road Users for Cooperative Autonomous Driving: A Survey,
ITS(23), No. 10, October 2022, pp. 16983-17002.
IEEE DOI 2210
Autonomous vehicles, Roads, Meteorology, Vehicle dynamics, Navigation, Standards, Cooperative autonomous driving, vulnerable road users BibRef

Jeon, H.J.[Hyung-Joon], Nguyen, V.D.[Vinh Dinh], Duong, T.T.[Tin Trung], Jeon, J.W.[Jae Wook],
A Deep Learning Framework for Robust and Real-Time Taillight Detection Under Various Road Conditions,
ITS(23), No. 11, November 2022, pp. 20061-20072.
IEEE DOI 2212
Automobiles, Pipelines, Real-time systems, Detectors, Deep learning, Support vector machines, Lane detection, Autonomous vehicles, vehicle detection BibRef

Hou, L.[Lian], Li, S.E.[Shengbo Eben], Yang, B.[Bo], Wang, Z.[Zheng], Nakano, K.[Kimihiko],
Structural Transformer Improves Speed-Accuracy Trade-Off in Interactive Trajectory Prediction of Multiple Surrounding Vehicles,
ITS(23), No. 12, December 2022, pp. 24778-24790.
IEEE DOI 2212
Trajectory, Transformers, Predictive models, Computational modeling, Roads, Decoding, Autonomous vehicles, transformer BibRef

Wang, Y.Z.[Yun-Zhen], Ma, H.B.[Hong-Bing], Li, L.L.[Liang-Liang],
Road Traffic Vehicle Detection Method Using Lightweight YOLOv5 and Attention Mechanism,
ICIVC22(201-207)
IEEE DOI 2301
Convolution, Computational modeling, Roads, Object detection, Data models, Intelligent transportation systems, Testing, depthwise separable convolution BibRef

Sato, R.[Rikiya], Onoguchi, K.[Kazunori],
Scene Recognition for Blind Spot via Road Safety Mirror and In-Vehicle Camera,
ICPR22(3714-3720)
IEEE DOI 2212
Image resolution, Vehicle detection, Focusing, Object detection, Cameras, Feature extraction, Road safety BibRef

Bahari, M.[Mohammadhossein], Saadatnejad, S.[Saeed], Rahimi, A.[Ahmad], Shaverdikondori, M.[Mohammad], Shahidzadeh, A.H.[Amir Hossein], Moosavi-Dezfooli, S.M.[Seyed-Mohsen], Alahi, A.[Alexandre],
Vehicle trajectory prediction works, but not everywhere,
CVPR22(17102-17112)
IEEE DOI 2210
Tracking, Navigation, Computational modeling, Roads, Machine vision, Urban areas, Predictive models, Vision applications and systems BibRef

Li, Y.J.[Yu-Jhe], Park, J.[Jinhyung], O'Toole, M.[Matthew], Kitani, K.[Kris],
Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection,
CVPR22(908-917)
IEEE DOI 2210
Training, Meteorological radar, Laser radar, Vehicle detection, Computational modeling, Snow, Radar detection, Representation learning BibRef

Ren, X.C.[Xuan-Chi], Yang, T.[Tao], Li, L.E.[Li Erran], Alahi, A.[Alexandre], Chen, Q.F.[Qi-Feng],
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving,
ICCV21(15711-15720)
IEEE DOI 2203
Deep learning, Uncertainty, Computer architecture, Predictive models, Safety, Trajectory, BibRef

Das, A., Ruppin, K., Dave, P., Pv, S.,
Vehicle boundary improvement and passing vehicle detection in driver assistance by flow distribution,
IPTA17(1-6)
IEEE DOI 1804
distance measurement, driver information systems, learning (artificial intelligence), object detection, Inter and Intra Frame Flow Correspondence (I2F2C) BibRef

Mendes, A., Bento, L.C., Nunes, U.,
Multi-target detection and tracking with a laser scanner,
IVS04(796-801).
IEEE DOI 0411
For collision avoidance. Detect other vehicles. BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Collision Avoidance, Collision Detection, Vehicles, Objects on the Road .