Author:
Yang Xuebin,Yu Hongzhi,Wang Di,Wang Ding
Abstract
Abstract
In recent years, convolutional neural network (CNN) has been widely used in image recognition, but there is still a big gap in automatic driving and road recognition. Here we have designed a system that maps raw pixels directly from a single front-facing camera to a steering command. The system mainly uses the camera to recognize the auxiliary lines on the road to realize automatic driving, and the accuracy rate has reached 98%. Unfortunately, such data can only be used in the laboratory, and the recognition of complex road conditions needs further development of machine learning.
Subject
General Physics and Astronomy
Reference5 articles.
1. Time-Shared Twin Memristor Crossbar Reducing the Number of Arrays by Half for Pattern Recognition;Truong;Nanoscale Research Letters,2017
2. Autonomous driving: cognitive construction and situation understanding;Chen;Science China,2019
3. Pattern recognition applications in computer vision and image analysis;Martínez;Pattern Recognition,2015
4. Converted-face identification: using synthesized images to replace original images for recognition;Shao;Multimedia Tools and Applications,2017