Embedded Vision in Advanced Driver Assistance Systems
作者： Zoran Nikolić
DOI: 10.1007/978-3-319-09387-1_3
关键词:
摘要: Throughout history, advances in transportation systems have had large economic and cultural impact. Mobility has changed the way people live automobiles continue to evolve by becoming smarter leveraging cutting-edge technologies. Over last three decades, we witnessed a tremendous growth of computer vision knowledge through research academia industry. More recently, decade, are finally seeing exciting applications vision. Computer plays fundamental role advanced driver assistance (ADAS), field which is particular interest evolution systems. For example, forward-facing functions (such as road sign detection, lane departure warning, autonomous emergency braking) heavily relying on information received from camera. The capture video data at high frame rate process this order warn that car moving faster than posted speed limit or tell an unintentional drift. goal chapter outline key components ADAS, show how fits system, describe its contribution success ADAS.
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sci-hub.st 参考文章(44)
Andreas Wedel, Thomas Pock, Christopher Zach, Horst Bischof, Daniel Cremers, An Improved Algorithm for TV-L1 Optical Flow Statistical and Geometrical Approaches to Visual Motion Analysis. pp. 23- 45 ,(2009) , 10.1007/978-3-642-03061-1_2
Hovav Shacham, Karl Koscher, Alexei Czeskis, Franziska Roesner, Brian Kantor, Damon McCoy, Tadayoshi Kohno, Stefan Savage, Danny Anderson, Stephen Checkoway, Comprehensive experimental analyses of automotive attack surfaces usenix security symposium. pp. 6- 6 ,(2011)
Fridtjof Stein, Efficient Computation of Optical Flow Using the Census Transform joint pattern recognition symposium. pp. 79- 86 ,(2004) , 10.1007/978-3-540-28649-3_10
Thomas Müller, Clemens Rabe, Jens Rannacher, Uwe Franke, Rudolf Mester, Illumination-Robust Dense Optical Flow Using Census Signatures Lecture Notes in Computer Science. pp. 236- 245 ,(2011) , 10.1007/978-3-642-23123-0_24
Embedded Computer Vision Embedded Computer Vision. ,(2008) , 10.1007/978-1-84800-304-0
Stefan K. Gehrig, Felix Eberli, Thomas Meyer, A Real-Time Low-Power Stereo Vision Engine Using Semi-Global Matching international conference on computer vision systems. pp. 134- 143 ,(2009) , 10.1007/978-3-642-04667-4_14
Uwe Franke, Clemens Rabe, Hernán Badino, Stefan Gehrig, 6D-vision: fusion of stereo and motion for robust environment perception dagm conference on pattern recognition. pp. 216- 223 ,(2005) , 10.1007/11550518_27
Zoran Nikolić, Implementation Considerations for Automotive Vision Systems on a Fixed-Point DSP Embedded Computer Vision. pp. 177- 194 ,(2009) , 10.1007/978-1-84800-304-0_9
Albrecht Rothermel, Anestis Terzis, Julian Forster, Xin Jiang, The effect of image compression on automotive optical flow algorithms 2011 14th ITG Conference on Electronic Media Technology. pp. 1- 4 ,(2011)
Giuliana Alderisi, Giancarlo Iannizzotto, Lucia Lo Bello, Towards IEEE 802.1 Ethernet AVB for Advanced Driver Assistance Systems: A preliminary assessment emerging technologies and factory automation. pp. 1- 4 ,(2012) , 10.1109/ETFA.2012.6489775