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Title
A Survey of Obstacle Detection Using Vision Sensor for Autonomous Vehicles
Issued Date
2016
Citation
22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016, pp.264
Type
Article
Abstract

Obstacle detection is one of the key requirements for autonomous vehicles. Many researchers have developed the techniques for obstacle detection for the safety of the drivers. Vision-based technique is one of popular obstacle detection techniques. We survey vision-based obstacle detection approaches, and present two approaches. In future work, we intend to implement a dynamic obstacle detection technique using vision sensors in urban road. © 2016 IEEE.

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URI
https://scholar.dgist.ac.kr/handle/20.500.11750/60264
DOI
10.1109/RTCSA.2016.54
Publisher
Institute of Electrical and Electronics Engineers Inc.
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Lee, Jin-Hee이진희

AX Research Group for Robotics

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