Real-Time Vehicle Detection Algorithm Based on Vision and Lidar Point Cloud Fusion
Joint Authors
Wang, Hai
Cai, Yingfeng
Lou, Xinyu
Li, Yicheng
Chen, Long
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Vehicle detection is one of the most important environment perception tasks for autonomous vehicles.
The traditional vision-based vehicle detection methods are not accurate enough especially for small and occluded targets, while the light detection and ranging- (lidar-) based methods are good in detecting obstacles but they are time-consuming and have a low classification rate for different target types.
Focusing on these shortcomings to make the full use of the advantages of the depth information of lidar and the obstacle classification ability of vision, this work proposes a real-time vehicle detection algorithm which fuses vision and lidar point cloud information.
Firstly, the obstacles are detected by the grid projection method using the lidar point cloud information.
Then, the obstacles are mapped to the image to get several separated regions of interest (ROIs).
After that, the ROIs are expanded based on the dynamic threshold and merged to generate the final ROI.
Finally, a deep learning method named You Only Look Once (YOLO) is applied on the ROI to detect vehicles.
The experimental results on the KITTI dataset demonstrate that the proposed algorithm has high detection accuracy and good real-time performance.
Compared with the detection method based only on the YOLO deep learning, the mean average precision (mAP) is increased by 17%.
American Psychological Association (APA)
Wang, Hai& Lou, Xinyu& Cai, Yingfeng& Li, Yicheng& Chen, Long. 2019. Real-Time Vehicle Detection Algorithm Based on Vision and Lidar Point Cloud Fusion. Journal of Sensors،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1191682
Modern Language Association (MLA)
Wang, Hai…[et al.]. Real-Time Vehicle Detection Algorithm Based on Vision and Lidar Point Cloud Fusion. Journal of Sensors No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1191682
American Medical Association (AMA)
Wang, Hai& Lou, Xinyu& Cai, Yingfeng& Li, Yicheng& Chen, Long. Real-Time Vehicle Detection Algorithm Based on Vision and Lidar Point Cloud Fusion. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1191682
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191682