期刊
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
卷 E100D, 期 12, 页码 2871-2875出版社
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
DOI: 10.1587/transinf.2017PAL0004
关键词
lane detection; neuromorphic hardware; neural network; autonomous vehicle
资金
- Chung-Ang University
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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