Abstract
This paper presents the practical application for a real-time and image-based driver assistance system. Dual-camera stereo vision algorithm for the distance measurement for the detected vehicle and multi-line merge function for the lane detection are implemented via lab-made library and calibrated off-line. A lab-made library developed via programming language is written and compiled for low computing-power consumption and rapidly calculating for the real-time purpose. To save the computing power consumption, some proper region of interest of vehicle detection and lane detection are applied. Finally, this system has been preliminary implemented on a test vehicle and driven on various roads over tens of miles and reach around 4 5 frame per seconds via portable embedded system.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728112176 |
| DOIs | |
| Publication status | Published - 2019 Apr 1 |
| Event | 89th IEEE Vehicular Technology Conference, VTC Spring 2019 - Kuala Lumpur, Malaysia Duration: 2019 Apr 28 → 2019 May 1 |
Publication series
| Name | IEEE Vehicular Technology Conference |
|---|---|
| Volume | 2019-April |
| ISSN (Print) | 1550-2252 |
Conference
| Conference | 89th IEEE Vehicular Technology Conference, VTC Spring 2019 |
|---|---|
| Country | Malaysia |
| City | Kuala Lumpur |
| Period | 19-04-28 → 19-05-01 |
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics
Cite this
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Real-time driver assistance systems via dual camera stereo vision. / Sie, Yong Da; Tsai, Yi Cheng; Lee, Wei-Hsun; Chou, Chien Ming; Chiu, Chi Yi.
2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8746289 (IEEE Vehicular Technology Conference; Vol. 2019-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Real-time driver assistance systems via dual camera stereo vision
AU - Sie, Yong Da
AU - Tsai, Yi Cheng
AU - Lee, Wei-Hsun
AU - Chou, Chien Ming
AU - Chiu, Chi Yi
PY - 2019/4/1
Y1 - 2019/4/1
N2 - This paper presents the practical application for a real-time and image-based driver assistance system. Dual-camera stereo vision algorithm for the distance measurement for the detected vehicle and multi-line merge function for the lane detection are implemented via lab-made library and calibrated off-line. A lab-made library developed via programming language is written and compiled for low computing-power consumption and rapidly calculating for the real-time purpose. To save the computing power consumption, some proper region of interest of vehicle detection and lane detection are applied. Finally, this system has been preliminary implemented on a test vehicle and driven on various roads over tens of miles and reach around 4 5 frame per seconds via portable embedded system.
AB - This paper presents the practical application for a real-time and image-based driver assistance system. Dual-camera stereo vision algorithm for the distance measurement for the detected vehicle and multi-line merge function for the lane detection are implemented via lab-made library and calibrated off-line. A lab-made library developed via programming language is written and compiled for low computing-power consumption and rapidly calculating for the real-time purpose. To save the computing power consumption, some proper region of interest of vehicle detection and lane detection are applied. Finally, this system has been preliminary implemented on a test vehicle and driven on various roads over tens of miles and reach around 4 5 frame per seconds via portable embedded system.
UR - http://www.scopus.com/inward/record.url?scp=85068967848&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068967848&partnerID=8YFLogxK
U2 - 10.1109/VTCSpring.2019.8746289
DO - 10.1109/VTCSpring.2019.8746289
M3 - Conference contribution
AN - SCOPUS:85068967848
T3 - IEEE Vehicular Technology Conference
BT - 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -