PAN Weiguo, LIU Bo, CHEN Yinghao, et al. Traffic sign detection and recognition based on YOLO v3[J]. 2019, (11): 147-150. DOI: 10.13873/j.1000-9787(2019)11-0147-04.
In the field of self-driving and driver assistance system
traffic sign detection and recognition is very important. Aiming at that current detection method based on YOLO can achieve real-time detection effect
but the accuracy is decreased
problem
a traffic sign detection method based on region of interest(ROI) is presented.color features of traffic sign are firstly used to get the candidate regions. Secondly
ascertain the ROI of traffic sign based on the rules of traffic scene image. Finally detect traffic sign in ROI based on YOLO v3. The experimental result show that self-driving or intelligent vehicle show that the proposed approach eliminate partial interference which makes the detection precision of algorithm is improved and can meet the needs of real-time performance. It is verified in remotely pilotod vehile.