Traffic Sign Detection Based on Improved YOLOv3 in Foggy Environment
نویسندگان
چکیده
Abstract Aiming at the problem of poor detection accuracy and inaccurate positioning traffic signs under foggy conditions, this paper proposes an improved YOLOv3 algorithm. Firstly, a data set Chinese in environment is constructed; The dark channel priori algorithm based on guided filtering used to process image with fog, which overcomes quality degradation caused by fog. Mosaic enhancement performed annotated image, speeds up convergence speed network. Increased feature scale loss function network optimized, CIOU as loss, improved. At same time, method transfer learning overcome insufficient samples. enhanced yolov3 proposed has higher shorter time than standard SSD
منابع مشابه
Obstacles detection in foggy environment
In this paper, we propose a novel method of object detection in bad weather conditions like Fog and smoke. It is based on statistical model of dark channel prior to estimate the thickness of the haze and physics based image restoration approach. Further applying simple image enhancement techniques improve the visibility of an obstacle in the line of sight. Using this prior with this imaging mod...
متن کاملA Real Time Traffic Sign Detection and Recognition Algorithm based on Super Fuzzy Set
Advanced Driver Assistance Systems (ADAS) benefit from current infrastructure to discern environmental information. Traffic signs are global guidelines which inform drivers from near characteristics of paths ahead. Traffic Sign Recognition (TSR) system is an ADAS that recognize traffic signs in images captured from road and show information as an adviser or transmit them to other ADASs. In this...
متن کاملDesign an Intelligent Driver Assistance System Based On Traffic Sign Detection with Persian Context
In recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. Detection of traffic signs is an effective method to reach the mentioned aims. In this paper a new intelligent driver assistance system based on traffic...
متن کاملTraffic Sign Detection Based on Biologically Visual Mechanism
TSR (Traffic sign recognition) is an important problem in ITS (intelligent traffic system), which is being paid more and more attention for realizing drivers assisting system and unmanned vehicle etc. TSR consists of two steps: detection and recognition, and this paper describe a new traffic sign detection method. The design principle of the traffic sign is comply with the visual attention mech...
متن کاملAutomatic Traffic Sign Detection
This work use basic image processing technique to automatically recognize two different traffic signs (stop sign and yield sign) in an image. The image is first thresholded on RBG domain to separate out the regions with red color, which is those traffic signs usually have, then region mapping is done on the remaining regions, the regions that are either too small and too large are removed since...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Lecture Notes in Electrical Engineering
سال: 2022
ISSN: ['1876-1100', '1876-1119']
DOI: https://doi.org/10.1007/978-981-19-2456-9_70