TY - GEN
T1 - A Highway Distance Posts Detection Method Based on S-YOLOv3
AU - Liu, Xiaoxi
AU - Cheng, Jiacheng
AU - Gu, Yifan
AU - Lei, Xinhua
AU - Wang, Bo
AU - Cheng, Yongmei
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In GPS denial environments, the geographic information of the location of distance posts could be obtained through detecting these posts in images, and could be used for vehicle positioning. Resolution of vehicle-mounted camera imaging will be affected by complex environments, changing imaging scales and angles that bring difficulties to the detection. Although YOLOv3 is effective to solve this question, its architecture is too complex to calculate. Aiming at the requirements that there are only two types of distance posts to detect and fast operation speed in our task, we put forward a new form of YOLOv3, named S-YOLOv3 (simplified YOLOv3). Through video images acquired from the Daheng mercury camera mounted in the vehicle, we completed training and testing of the network. According to the results, our method has better detection robustness, whose mAP(mean Average Precision) reaches 85% and detection speed reaches 28FPS.
AB - In GPS denial environments, the geographic information of the location of distance posts could be obtained through detecting these posts in images, and could be used for vehicle positioning. Resolution of vehicle-mounted camera imaging will be affected by complex environments, changing imaging scales and angles that bring difficulties to the detection. Although YOLOv3 is effective to solve this question, its architecture is too complex to calculate. Aiming at the requirements that there are only two types of distance posts to detect and fast operation speed in our task, we put forward a new form of YOLOv3, named S-YOLOv3 (simplified YOLOv3). Through video images acquired from the Daheng mercury camera mounted in the vehicle, we completed training and testing of the network. According to the results, our method has better detection robustness, whose mAP(mean Average Precision) reaches 85% and detection speed reaches 28FPS.
KW - Detection robustness
KW - Highway distance posts detection
KW - YOLOv3
UR - http://www.scopus.com/inward/record.url?scp=85123978006&partnerID=8YFLogxK
U2 - 10.1109/ICCAIS52680.2021.9624652
DO - 10.1109/ICCAIS52680.2021.9624652
M3 - 会议稿件
AN - SCOPUS:85123978006
T3 - 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings
SP - 974
EP - 979
BT - 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021
Y2 - 14 October 2021 through 17 October 2021
ER -