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Overall Reviews of Autonomous Vehicle A1 - System Architecture and Algorithms

Title
Overall Reviews of Autonomous Vehicle A1 - System Architecture and Algorithms
Author
선우명호
Keywords
Autonomous vehicles; System architecture; Perception; Localization; Planning; Control
Issue Date
2013-06
Publisher
Elsevier
Citation
IFAC Proceedings Volumes (IFAC-PapersOnline), 2013, 8(1), P.114-119
Abstract
This paper describes an autonomous vehicle A1 that won the Hyundai Motor Group 2012 Autonomous Vehicle Competition. The A1 was developed for autonomous on-road and off-road driving conditions without driver intervention. The autonomous driving system consists of four parts that are localization, perception, planning, and control. Localization which estimates the ego-vehicle position on the map should be first performed to autonomously drive the A1. A perception algorithm detects and recognizes the objects around the ego-vehicle are also important to prevent collisions with obstacles and road departure. A planning algorithm generates the drivable motion of the A1 based upon previous information from the localization and perception system. Subsequently, a vehicle control algorithm calculates the desired steering, acceleration and braking control commands based on the information from the planning algorithm. This paper also presents the entire system architecture that the A1 used to accomplish all the required missions in the 2012 Autonomous Vehicle Competition.
URI
https://www.sciencedirect.com/science/article/pii/S1474667015349193?via%3Dihubhttp://hdl.handle.net/20.500.11754/54678
ISBN
978-390282336-6
ISSN
1474-6670
DOI
10.3182/20130626-3-AU-2035.00052
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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