NDLI: An Algorithm for Automatic Guided Vehicle Based on Machine Vision and DR

Content Provider	IEEE Xplore Digital Library
Author	Yong Jiang Jie Cao Ruihua Liu Yaling Du
Copyright Year	2006
Description	Author affiliation: Coll. of IST, Nanjing Univ. of Aeronaut. & Astronaut. (Yong Jiang; Jie Cao)
Abstract	This paper designs a novel algorithm for automatic guided vehicle. The algorithm uses the CCD in front of the vehicle to identify the routing indicator and to calculate the yaw angle from track. It applies the odometer to get vehicle displacement. The DR algorithm can provide the vehicle direction and position from the yaw angle and displacement. Machine vision guidance can identify and track the routing indicator. It uses the adaptive fuzzy feedback to identify faster and better, further uses a novel simple arithmetic to reduce picture jitter. The system used this algorithm can avoid the position error accumulated with time as general DR and cost lower. Plenty of examinations prove that the algorithm can efficiently improve the position precision
Starting Page	8582
Ending Page	8586
File Size	445670
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713655
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Machine vision Routing Algorithm design and analysis Charge coupled devices Navigation Feedback Arithmetic Jitter Costs image processing machine vision dead reckoning automatic guidance
Content Type	Text
Resource Type	Article

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