Vision-based intelligent vehicles: State of the art and perspectives

By Massimo Bertozzi, Alberto Broggi, Alessandra Fascioli. Robotics Auton. Syst., 2000

465 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7d2f4170308e5398bc5186d089c8735c1b0b9f23

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Citations in the corpus

Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art (2017, background): “Bertozzi et al. (2000) survey many approaches to the challenging task of autonomous road following developed during these projects.”
Automatic traffic surveillance system for vehicle tracking and classification (2006, background): “Therefore, this paper focuses on developing a vision-based system to analyze vehicles using only one general camera.”
Finding multiple lanes in urban road networks with vision and lidar (2009, unknown): “1988) and driver-assistance technologies (Bertozzi and Broggi 1998; Bertozzi et al. 2000; Apostoloff and Zelinsky 2004; Fletcher and Zelinsky 2006; Kim 2008).”
On-road vehicle detection: a review (2006, background): “…approaches such as sensors detecting the field emitted by permanent magnetic markers or electric wires buried in the road) as well as vision-based intelligent transportation systems (e.g., driver monitoring, pedestrian detection, sign recognition, etc.) can be found in [2], [3], [4], [5], [6], [7].”
Color-based road detection in urban traffic scenes (2004, background): “In the past decades, several approaches for road following were proposed and successfully demonstrated [1], [2].”
Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety (2007, background): “In [6] and [7], Bertozzi et al. give a comprehensive survey of the use of computer vision in intelligent vehicles.”
Vehicle control algorithms for cooperative driving with automated vehicles and intervehicle communications (2002, background): “Automated highway systems by not only a free agent but also a platoon have been demonstrated over the past several years [1]‐[ 6 ].”