NDLI: Computer vision based object detection and recognition for vehicle driving

Content Provider	IEEE Xplore Digital Library
Author	Li-Chen Fu Cheng-Yi Liu
Copyright Year	2001
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan (Li-Chen Fu)
Abstract	Applying computer technology to vehicle driving has been studied for many years. Most of the studies focused on autonomous vehicle driving in a simplified environment like freeways, or life independent systems like GPS. A general case where kind of unexpectedly fatal conditions may occur which we are driving in an urban area, however, has not been considered. We proposed a system to satisfy the basic criteria for such a general driving assistance. We detect the obstacles on the ground in front of the vehicle we are driving, and then classify them into three predefined categories: pedestrians, vehicles and others. In the proposed system, we exploit a simplified stereovision system to detect the obstacles instantly. After that, to search and track pedestrians and vehicles, different methods are used for adapting to their heterogeneity. For the sake of implementation, we also propose a method to decide the maximal speed of driving to keep such kind of systems working.
Sponsorship	IEEE Robotics & Autom. Soc
Starting Page	2634
Ending Page	2641
File Size	789224
Page Count	8
File Format	PDF
ISBN	0780365763
ISSN	10504729
DOI	10.1109/ROBOT.2001.933020
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-21
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Object detection Vehicle driving Vehicles Humans Computer science Automotive engineering Air traffic control Vehicle detection Roads
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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