15.3.3.8.1 Other Vehicles

Chapter Contents (Back)
Vehicle Detection. Generally focused on non-vehicle mounted cameras:
See also Vehicle Recognition, Car Recognition, Vehicle Detection.
See also Platoons, Platooning, Vehicle Control, Vehicle Cooperation.

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

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

Nilsson, J., Fredriksson, J., Odblom, A.C.E.,
Reliable Vehicle Pose Estimation Using Vision and a Single-Track Model,
ITS(15), No. 6, December 2014, pp. 2630-2643.
IEEE DOI 1412
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

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

Eltrass, A.[Ahmed], Khalil, M.[Mohammed],
Automotive radar system for multiple-vehicle detection and tracking in urban environments,
IET-ITS(12), No. 8, October 2018, pp. 783-792.
DOI Link 1809
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.[Shiyu], 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


Major, B., Fontijne, D., Ansari, A., Sukhavasi, R.T., Gowaikar, R., Hamilton, M., Lee, S., Grzechnik, S., Subramanian, S.,
Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler Tensors,
CVRSUAD19(924-932)
IEEE DOI 2004
driver information systems, learning (artificial intelligence), object detection, radar computing, radar signal processing, FMCW radar 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 .


Last update:Oct 24, 2021 at 16:35:58