Overtaking Vehicle Detection Method and Its Implementation Using IMAPCAR Highly Parallel Image Processor
Summary :
This paper describes the real-time implementation of a vision-based overtaking vehicle detection method for driver assistance systems using IMAPCAR, a highly parallel SIMD linear array processor. The implemented overtaking vehicle detection method is based on optical flows detected by block matching using SAD and detection of the flows' vanishing point. The implementation is done efficiently by taking advantage of the parallel SIMD architecture of IMAPCAR. As a result, video-rate (33 frames/s) implementation could be achieved.
- Publication
- IEICE TRANSACTIONS on Information Vol.E91-D No.7 pp.1899-1905
- Publication Date
- 2008/07/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e91-d.7.1899
- Type of Manuscript
- Special Section PAPER (Special Section on Machine Vision and its Applications)
- Category
Authors
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
Kazuyuki SAKURAI, Shorin KYO, Shin'ichiro OKAZAKI, "Overtaking Vehicle Detection Method and Its Implementation Using IMAPCAR Highly Parallel Image Processor" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 7, pp. 1899-1905, July 2008, doi: 10.1093/ietisy/e91-d.7.1899.
Abstract: This paper describes the real-time implementation of a vision-based overtaking vehicle detection method for driver assistance systems using IMAPCAR, a highly parallel SIMD linear array processor. The implemented overtaking vehicle detection method is based on optical flows detected by block matching using SAD and detection of the flows' vanishing point. The implementation is done efficiently by taking advantage of the parallel SIMD architecture of IMAPCAR. As a result, video-rate (33 frames/s) implementation could be achieved.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.7.1899/_p
Copy
@ARTICLE{e91-d_7_1899,
author={Kazuyuki SAKURAI, Shorin KYO, Shin'ichiro OKAZAKI, },
journal={IEICE TRANSACTIONS on Information},
title={Overtaking Vehicle Detection Method and Its Implementation Using IMAPCAR Highly Parallel Image Processor},
year={2008},
volume={E91-D},
number={7},
pages={1899-1905},
abstract={This paper describes the real-time implementation of a vision-based overtaking vehicle detection method for driver assistance systems using IMAPCAR, a highly parallel SIMD linear array processor. The implemented overtaking vehicle detection method is based on optical flows detected by block matching using SAD and detection of the flows' vanishing point. The implementation is done efficiently by taking advantage of the parallel SIMD architecture of IMAPCAR. As a result, video-rate (33 frames/s) implementation could be achieved.},
keywords={},
doi={10.1093/ietisy/e91-d.7.1899},
ISSN={1745-1361},
month={July},}
Copy
TY - JOUR
TI - Overtaking Vehicle Detection Method and Its Implementation Using IMAPCAR Highly Parallel Image Processor
T2 - IEICE TRANSACTIONS on Information
SP - 1899
EP - 1905
AU - Kazuyuki SAKURAI
AU - Shorin KYO
AU - Shin'ichiro OKAZAKI
PY - 2008
DO - 10.1093/ietisy/e91-d.7.1899
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2008
AB - This paper describes the real-time implementation of a vision-based overtaking vehicle detection method for driver assistance systems using IMAPCAR, a highly parallel SIMD linear array processor. The implemented overtaking vehicle detection method is based on optical flows detected by block matching using SAD and detection of the flows' vanishing point. The implementation is done efficiently by taking advantage of the parallel SIMD architecture of IMAPCAR. As a result, video-rate (33 frames/s) implementation could be achieved.
ER -
English
