A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
A Novel Vehicle Detection Framework Based on Parallel Vision
2022
Wireless Communications and Mobile Computing
Autonomous driving has become a prevalent research topic in recent years, arousing the attention of many academic universities and commercial companies. As human drivers rely on visual information to discern road conditions and make driving decisions, autonomous driving calls for vision systems such as vehicle detection models. These vision models require a large amount of labeled data while collecting and annotating the real traffic data are time-consuming and costly. Therefore, we present a
doi:10.1155/2022/9667506
fatcat:32owsz4yt5exfmv7x7qgcgpw5i