16.7.2.2 Vehicle Recogniton, Lidar, Laser Data, Depth Data

Chapter Contents (Back)
Vehicle Recognition. Vehicle Detection.

Cheng, H.H., Shaw, B.D., Palen, J., Lin, B., Chen, B., Wang, Z.,
Development and Field Test of a Laser-Based Nonintrusive Detection System for Identification of Vehicles on the Highway,
ITS(6), No. 2, June 2005, pp. 147-155.
IEEE Abstract. 0506
BibRef

Wang, T.[Tao], Zhu, Z.G.[Zhi-Gang], Taylor, C.N.[Clark N.],
A multimodal temporal panorama approach for moving vehicle detection, reconstruction and classification,
CVIU(117), No. 12, 2013, pp. 1724-1735.
Elsevier DOI 1310
BibRef
Earlier: A1, A2, Only:
Real time moving vehicle detection and reconstruction for improving classification,
WACV12(497-502).
IEEE DOI 1203
Laser-Doppler vibrometry See also Intelligent multimodal and hyperspectral sensing for real-time moving target tracking. BibRef

Wender, S., Dietmayer, K.,
3D vehicle detection using a laser scanner and a video camera,
IET-ITS(2), No. 2, 2008, pp. 105-112.
DOI Link 1204
BibRef

Zhang, Z.X.[Zhao-Xiang], Tan, T.N.[Tie-Niu], Huang, K.Q.[Kai-Qi], Wang, Y.H.[Yun-Hong],
Three-Dimensional Deformable-Model-Based Localization and Recognition of Road Vehicles,
IP(21), No. 1, January 2012, pp. 1-13.
IEEE DOI 1112
BibRef
Earlier: A1, A3, A2, A4:
3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework,
ICPR10(1771-1774).
IEEE DOI 1008
See also Model-Based Localization and Recognition of Road Vehicles. BibRef

Hu, Z.C.[Zhen-Cheng], Wang, C.H.[Chen-Hao], Uchimura, K.[Keiichi],
3D Vehicle Extraction and Tracking from Multiple Viewpoints for Traffic Monitoring by using Probability Fusion Map,
ELCVIA(7), No. 2, 2008, pp. xx-yy.
WWW Link. 0903
BibRef

Misovic, D.S., Milic, S.D., Durovic, Z.M.,
Vessel Detection Algorithm Used in a Laser Monitoring System of the Lock Gate Zone,
ITS(17), No. 2, February 2016, pp. 430-440.
IEEE DOI 1602
Detection algorithms BibRef

Kim, S., Kim, H., Yoo, W., Huh, K.,
Sensor Fusion Algorithm Design in Detecting Vehicles Using Laser Scanner and Stereo Vision,
ITS(17), No. 4, April 2016, pp. 1072-1084.
IEEE DOI 1604
Algorithm design and analysis BibRef

Yu, Y.T.[Yong-Tao], Li, J.[Jonathan], Guan, H.Y.[Hai-Yan], Wang, C.[Cheng],
Automated Detection of Three-Dimensional Cars in Mobile Laser Scanning Point Clouds Using DBM-Hough-Forests,
GeoRS(54), No. 7, July 2016, pp. 4130-4142.
IEEE DOI 1606
Automobiles See also Marked Point Process for Automated Tree Detection from Mobile Laser Scanning Point Cloud Data, A. See also Semiautomated Extraction of Street Light Poles From Mobile LiDAR Point-Clouds. BibRef

Hata, A.Y., Wolf, D.F.,
Feature Detection for Vehicle Localization in Urban Environments Using a Multilayer LIDAR,
ITS(17), No. 2, February 2016, pp. 420-429.
IEEE DOI 1602
Asphalt BibRef


Chabot, F., Chaouch, M., Rabarisoa, J., Teuliere, C., Chateau, T.,
Accurate 3D car pose estimation,
ICIP16(3807-3811)
IEEE DOI 1610
Automobiles BibRef

Schlichting, A., Brenner, C.,
Vehicle Localization By Lidar Point Correlation Improved By Change Detection,
ISPRS16(B1: 703-710).
DOI Link 1610
BibRef

Farrugia, T.[Trevor], Barbarar, J.[Jonathan],
Pose Normalisation for 3D Vehicles,
CAIP15(I:235-245).
Springer DOI 1511
BibRef

Zia, M.Z.[Muhammad Zeeshan], Stark, M.[Michael], Schindler, K.[Konrad],
Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects,
CVPR14(3678-3685)
IEEE DOI 1409
3D object recognition; Scene understanding BibRef

Lin, Y.L.[Yen-Liang], Morariu, V.I.[Vlad I.], Hsu, W.[Winston], Davis, L.S.[Larry S.],
Jointly Optimizing 3D Model Fitting and Fine-Grained Classification,
ECCV14(IV: 466-480).
Springer DOI 1408
Car dataset. BibRef

Hsiao, E.[Edward], Sinha, S.N.[Sudipta N.], Ramnath, K.[Krishnan], Baker, S.[Simon], Zitnick, L.[Larry], Szeliski, R.[Richard],
Car make and model recognition using 3D curve alignment,
WACV14(1-1)
IEEE DOI 1406
BibRef
And: A3, A2, A6, A1, Only: WACV14(285-292)
IEEE DOI 1406
Cameras BibRef

Zheng, T.L.[Tan Lun], Xia, L.M.[Li-Min], Liu, Y.F.[Yan-Fei],
Segmentation of urban traffic scene based on 3D structure,
IASP11(240-243).
IEEE DOI 1112
BibRef

Buch, N.[Norbert], Orwell, J.[James], Velastin, S.A.[Sergio A.],
3d Extended Histogram of Oriented Gradients (3DHoG) for Classification of Road Users in Urban Scenes,
BMVC09(xx-yy).
PDF File.
PDF File.
WWW Link.
WWW Link. 0909
3D descriptions to recognize pedestrians and cars. BibRef

Mohottala, S.[Shirmila], Ono, S.[Shintaro], Kagesawa, M.[Masataka], Ikeuchi, K.[Katsushi],
Fusion of a camera and a laser range sensor for vehicle recognition,
OTCBVS09(16-23).
IEEE DOI 0906
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Vehicle Counting .


Last update:Apr 26, 2017 at 10:20:07