2015 IEEE Intelligent Vehicles Symposium (IV) 2015
DOI: 10.1109/ivs.2015.7225767
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Map free lane following based on low-cost laser scanner for near future autonomous service vehicle

Abstract: This paper proposes a map free lane following solution based on low-cost 2D laser scanners for Autonomous Service Vehicle to fill the gap between future driverless car and the lane keeping assistant. The applications of autonomous service vehicle include feeder bus in a local residential area, shuttle bus in a park or playground, sprinkler car, sweeper car, and transporter in airport or container terminal. As autonomous service vehicle is running only in a limited area and its speed is slow compared to normal … Show more

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Cited by 11 publications
(3 citation statements)
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“…Moreover, the front steering angle is determined for trajectory, especially for slippery roads at maximum entry speed. Furthermore, a map-free lane method was presented in [12], utilizing a 2D low-cost laser scanner for near future AVs to bridge the gap between forthcoming AVs and lane-keeping assistants. Moreover, integrated positioning for connected vehicles enhances positioning accuracy and availability, specifically for urban canyons studied in [13].…”
Section: Recent Research Findings Conclude That: "Nearly 125 Million ...mentioning
confidence: 99%
“…Moreover, the front steering angle is determined for trajectory, especially for slippery roads at maximum entry speed. Furthermore, a map-free lane method was presented in [12], utilizing a 2D low-cost laser scanner for near future AVs to bridge the gap between forthcoming AVs and lane-keeping assistants. Moreover, integrated positioning for connected vehicles enhances positioning accuracy and availability, specifically for urban canyons studied in [13].…”
Section: Recent Research Findings Conclude That: "Nearly 125 Million ...mentioning
confidence: 99%
“…When taking about autonomous navigation, the majority of the work is related to the field of autonomous vehicles as in Abdulmajeed and Mansoor (2014) and Zhiwei et al (2015), where autonomous mobile platforms use one (or generally more) LiDAR to discover and avoid obstacles. These robotic platforms nowadays are widely used in warehouses or other places but, despite the nice results achieved, wheeled robots are limited for the objective we would like to achieve.…”
Section: Related Workmentioning
confidence: 99%
“…In the scope of this work, we assume the applicability of CDVs in limited perimeter areas; e.g., as shuttle buses in airport terminals, parks, and playgrounds [27]. Furthermore, we consider a realistic scenario of a converging road plan inspired by [28], as shown in Fig.…”
Section: A Use Case Scenariomentioning
confidence: 99%