Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision
نویسندگان
چکیده
منابع مشابه
Vision-based Vehicle Guidance Lane Detection
F rom automatic transmissions to cruise control to antilock braking systems, passenger vehicles have incorporated automated subsystems that make driving easier and safer. Moreover, a growing number of microprocessors on late-model automobiles now monitor and control engine operations to improve mileage and reduce emissions. Thus an eventual move to autonomous, self-guided vehicles might be view...
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The Unmanned Aerial Vehicles (UAV) positioning in the outdoor environment is usually done by the Global Positioning System (GPS). Due to the low power of the GPS signal at the earth surface, its performance disrupted in the contaminated environments with the jamming attacks. The UAV positioning and its accuracy using GPS will be degraded in the jamming attacks. A positioning error about tens of...
متن کاملReal Time Vision Based Road Lane Detection and Tracking
Taking into account these various remarks, our method is composed of four modules: In this article, we describe a new method deA recognition phase allows to accurately detersigned to detect and track the road lane of a vehicle mine the position of the road sides in the image. equipped with a monocular monochromatic camera. This phase is based on the exploitation of a staThe goal of this work is...
متن کاملVision Based Road Lane Detection System for Vehicles Guidance
Driver support system is one of the most important feature of the modern vehicles to ensure driver safety and decrease vehicle accident on roads. Apparently, the road lane detection or road boundaries detection is the complex and most challenging tasks. It is includes the localization of the road and the determination of the relative position between vehicle and road. A vision system using on-b...
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ژورنال
عنوان ژورنال: IEEE/CAA Journal of Automatica Sinica
سال: 2018
ISSN: 2329-9266,2329-9274
DOI: 10.1109/jas.2018.7511063