IEICE TRANSACTIONS on Information
Neuromorphic Hardware Accelerated Lane Detection System
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.
- Publication
- IEICE TRANSACTIONS on Information 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
Authors
Shinwook KIM
Chung-Ang University
Tae-Gyu CHANG
Chung-Ang University
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Shinwook KIM, Tae-Gyu CHANG, "Neuromorphic Hardware Accelerated Lane Detection System" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 12, pp. 2871-2875, December 2017, doi: 10.1587/transinf.2017PAL0004.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017PAL0004/_p
Copy
@ARTICLE{e100-d_12_2871,
author={Shinwook KIM, Tae-Gyu CHANG, },
journal={IEICE TRANSACTIONS on Information},
title={Neuromorphic Hardware Accelerated Lane Detection System},
year={2017},
volume={E100-D},
number={12},
pages={2871-2875},
abstract={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.},
keywords={},
doi={10.1587/transinf.2017PAL0004},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - Neuromorphic Hardware Accelerated Lane Detection System
T2 - IEICE TRANSACTIONS on Information
SP - 2871
EP - 2875
AU - Shinwook KIM
AU - Tae-Gyu CHANG
PY - 2017
DO - 10.1587/transinf.2017PAL0004
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2017
AB - 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.
ER -
English
