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Open AccessArticle

Target Fusion Detection of LiDAR and Camera Based on the Improved YOLO Algorithm

College of Transportation, Shandong University of Science and Technology, Huangdao District, Qingdao 266590, China
Author to whom correspondence should be addressed.
Mathematics 2018, 6(10), 213;
Received: 7 September 2018 / Revised: 16 October 2018 / Accepted: 17 October 2018 / Published: 19 October 2018
(This article belongs to the Special Issue Mathematics and Engineering)
Target detection plays a key role in the safe driving of autonomous vehicles. At present, most studies use single sensor to collect obstacle information, but single sensor cannot deal with the complex urban road environment, and the rate of missed detection is high. Therefore, this paper presents a detection fusion system with integrating LiDAR and color camera. Based on the original You Only Look Once (YOLO) algorithm, the second detection scheme is proposed to improve the YOLO algorithm for dim targets such as non-motorized vehicles and pedestrians. Many image samples are used to train the YOLO algorithm to obtain the relevant parameters and establish the target detection model. Then, the decision level fusion of sensors is introduced to fuse the color image and the depth image to improve the accuracy of the target detection. Finally, the test samples are used to verify the decision level fusion. The results show that the improved YOLO algorithm and decision level fusion have high accuracy of target detection, can meet the need of real-time, and can reduce the rate of missed detection of dim targets such as non-motor vehicles and pedestrians. Thus, the method in this paper, under the premise of considering accuracy and real-time, has better performance and larger application prospect. View Full-Text
Keywords: autonomous vehicle; target detection; multi-sensors; fusion; YOLO autonomous vehicle; target detection; multi-sensors; fusion; YOLO
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MDPI and ACS Style

Han, J.; Liao, Y.; Zhang, J.; Wang, S.; Li, S. Target Fusion Detection of LiDAR and Camera Based on the Improved YOLO Algorithm. Mathematics 2018, 6, 213.

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