RadarFormer：轻量级高精度实时雷达物体检测模型（英文版）

英文标题：RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model中文摘要：本文通过使用具有长波长的雷达数据集以及开发一种名为 Radarformer 的基于 transformer 的模型，解决了自动驾驶中在恶劣天气下雷达探测的问题，并在 CRUW 雷达数据集上进行了全面实验，表明 Radarformer 在速度和模型参数上具有优势。英文摘要：The performance of perception systems developed for autonomous drivingvehicles has seen significant improvements over the last few years. Thisimprovement was associated with the increasing use of LiDAR sensors and pointcloud data to facilitate the task of object detection and