Summary
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Neuromorphic Hardware Accelerated Lane Detection System Shinwook KIM Tae-Gyu CHANG Publication IEICE TRANSACTIONS on Information and Systems Vol.E100-D No.12 pp.2871-2875 Publication Date: 2017/12/01 Publicized: 2017/07/14 Online ISSN: 1745-1361 DOI: 10.1587/transinf.2017PAL0004 Type of Manuscript: Special Section LETTER (Special Section on Parallel and Distributed Computing and Networking) Category: Architecture Keyword: lane detection, neuromorphic hardware, neural network, autonomous vehicle, Full Text: PDF(4.1MB)>>
Summary: This letter describes the development and implementation of the lane detection system accelerated by the neuromorphic hardware. Because the neuromorphic hardware has inherently parallel nature and has constant output latency regardless the size of the knowledge, the proposed lane detection system can recognize various types of lanes quickly and efficiently. Experimental results using the road images obtained in the actual driving environments showed that white and yellow lanes could be detected with an accuracy of more than 94 percent. | ||||||||||
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