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Vision Based Solution for Auto-Maneuvering of Vehicle for Emerging Market
ISSN: 0148-7191, e-ISSN: 2688-3627
Published November 21, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Event: NuGen Summit
Advance Active Safety Systems play a preventive role in mitigating crashes and accidents by providing warning, additional assistance to the driver and maneuverability of vehicle by itself. Some of the features include forward collision warning system and lane departure warning system activate a warning alert when potentially dangerous situations are detected. These active safety features present in developed markets work with Fusion based algorithm combining Radar, Lidar, Camera, Ultrasonic sensor’s input. Application of these algorithms are Intelligent Cruise Control, Collision avoidance, parking assistance, identify pedestrian etc. The complexity of the algorithm, cost of the control unit and road infrastructure are hindrance to emerging market. The solution presented in this paper is towards camera-based solution, describing the method to determine the predictive path, that is obstacle free space and use the predictive space to navigate or steer. This paper focuses on vehicle maneuverability in poor road infrastructure (lane irregularities or no lane marking) by using only cameras.
CitationBose, S., Singh, A., Singampalli, D., and lalwani, C., "Vision Based Solution for Auto-Maneuvering of Vehicle for Emerging Market," SAE Technical Paper 2019-28-2517, 2019.
Data Sets - Support Documents
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- World Health Organization , https://www.who.int/
- Government of India , Ministry of Road Transport & Highways Transport Research Wing, NEW DELHI, http://www.morth.nic.in/
- Harris, C. and Stephens, M. , “A Combined Corner and Edge Detector,” in Alvey Vision Conference, 1988.
- Ballard, D.H. , “Generalizing the Hough Transform to Detect Arbitrary Shapes,” Pattern Recognition.