基于目标检测与深度估计的车辆车速检测：一种深度学习框架
机器学习
2024-08-09 v1 计算机视觉与模式识别
摘要
道路事故在世界大部分地区都相当常见，主要归因于车辆超速行驶。控制超速的常用方法是在道路的 various 部分设置检查站，但并非所有交通警察都配备了现有的基于LIDAR或雷达枪的速度估计设备。当前项目旨在使用搭载网络连接的便携式设备（如手机或可穿戴摄像头）通过深度学习框架估计车辆速度。
引用
@article{arxiv.2408.04360,
title = {Detecting Car Speed using Object Detection and Depth Estimation: A Deep Learning Framework},
author = {Subhasis Dasgupta and Arshi Naaz and Jayeeta Choudhury and Nancy Lahiri},
journal= {arXiv preprint arXiv:2408.04360},
year = {2024}
}
备注
This is the pre-print of the paper which was accepted for oral presentation and publication in the proceedings of IEEE CONIT 2024, organized at Pune from June 21 to 23, 2024. The paper is 6 pages long and it contains 11 figures and 1 table. This is not the final version of the paper