On-Board 6D Visual Sensor for Intersection Driving Assistance

被引:4
作者
Nedevschi, S. [1 ]
Marita, T. [1 ]
Danescu, R. [1 ]
Oniga, F. [1 ]
Bota, S. [1 ]
Haller, I. [1 ]
Pantilie, C. [1 ]
Drulea, M. [1 ]
Golban, C. [1 ]
机构
[1] Univ Tehn Cluj Napoca, 15 C Daicoviciu, Cluj Napoca 400020, Romania
来源
ADVANCED MICROSYSTEMS FOR AUTOMOTIVE APPLICATIONS 2010: SMART SYSTEMS FOR GREEN CARS AND SAFE MOBILITY | 2010年
关键词
stereovision; optical flow; 6D vision; intersection; lane detection; obstacle detection; tracking; classification; elevation maps; occupancy map;
D O I
10.1007/978-3-642-16362-3_25
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The problem of on-board intersection perception and modeling is complex and requires a wide field of view, dense and accurate data acquisition and processing, robust object detection and classification and fast response time. This goal can be achieved by using a large and redundant set of heterogeneous sensors and by fusing their information. Among the on-board sensors the visual sensors have the following main advantages: they are passive, and they provide the highest volume of information. The use of a pair of visual sensors in stereo configuration opens not only the possibility to infer the 3D coordinates for any image point but also the possibility to compute the 3D motion vector for any pixel. The exploitation of the motion information in driving assistance systems requires the estimation of the ego motion. This paper presents the architecture, implementation and use of a powerful on-board 6D visual sensor for intersection driving assistance.
引用
收藏
页码:253 / +
页数:3
相关论文
共 9 条
[1]  
[Anonymous], 2008, INT WORKSH INT TRANS
[2]   Probabilistic Lane Tracking in Difficult Road Scenarios Using Stereovision [J].
Danescu, Radu ;
Nedevschi, Sergiu .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2009, 10 (02) :272-282
[3]  
Franke U, 2005, LECT NOTES COMPUT SC, V3663, P216
[4]   Accurate and efficient stereo processing by semi-global matching and mutual information [J].
Hirschmüller, H .
2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGS, 2005, :807-814
[5]   Stereovision-Based Sensor for Intersection Assistance [J].
Nedevschi, S. ;
Danescu, R. ;
Marita, T. ;
Oniga, F. ;
Pocol, C. ;
Bota, S. ;
Meinecke, M. -M. ;
Obojski, M. A. .
ADVANCED MICROSYSTEMS FOR AUTOMOTIVE APPLICATIONS 2009: SMART SYSTEMS FOR SAFETY, SUSTAINABILITY, AND COMFORT, 2009, :129-+
[6]  
Nedevschi S, 2009, 2009 12TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC 2009), P596
[7]   Camera Response Estimation. Radiometric Calibration [J].
Negru, Mihai ;
Nedevschi, Sergiu .
2009 IEEE 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING, PROCEEDINGS, 2009, :103-109
[8]   Road surface and obstacle detection based on elevation maps from dense stereo [J].
Oniga, Florin ;
Nedevschi, Sergiu ;
Meinecke, Marc Michael ;
To, Thanh Binh .
2007 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE, VOLS 1 AND 2, 2007, :861-+
[9]   A duality based approach for realtime TV-L1 optical flow [J].
Zach, C. ;
Pock, T. ;
Bischof, H. .
PATTERN RECOGNITION, PROCEEDINGS, 2007, 4713 :214-+