Fusion-Based Detection of Stationary On-Road and Off-Road Objects for Autonomous Vehicle Guidance

This comparison focuses on stationary road object detection through the fusion of camera and LiDAR data. The comparison is specifically based on the categorization of stationary road objects into two main types: on-road objects, encompassing road surfaces and markings, and off-road objects, including traffic signs.

本对比实验聚焦于通过相机与激光雷达（LiDAR）数据融合实现的静态道路目标检测任务。本次对比专门基于静态道路目标的两大分类体系展开，即将静态道路目标划分为两类：道路内目标（on-road objects），涵盖道路路面与道路标线；道路外目标（off-road objects），包含交通标志。