RADIATE

RADIATE是由赫瑞瓦特大学传感器、信号与系统研究所创建的雷达数据集，专注于恶劣天气下的汽车感知。该数据集包含超过20万条标注的道路参与者数据，覆盖8种不同类别，如汽车、货车、行人等，以及多种天气条件和驾驶场景。数据集通过高分辨率79 GHz 360°雷达收集，同时包含立体图像、32通道激光雷达和GPS数据，旨在解决自动驾驶在恶劣天气条件下的感知挑战，如雾、雨和雪。RADIATE is a radar dataset created by the Institute of Sensors, Signals and Systems at Heriot-Watt University, focusing on automotive perception under adverse weather conditions. This dataset contains over 200,000 annotated road participant records covering 8 distinct categories such as cars, vans, pedestrians and more, alongside diverse weather conditions and driving scenarios. The data is collected via a high-resolution 79 GHz 360° radar, and also includes stereo images, 32-channel LiDAR and GPS data. It aims to address the perception challenges of autonomous driving under harsh weather conditions including fog, rain and snow.

搜集汇总

背景与挑战

背景概述

RADIATE是由赫瑞瓦特大学创建的雷达数据集，专注于恶劣天气下的自动驾驶感知，包含超过20万条标注的道路参与者数据，涵盖8种不同类别。该数据集通过高分辨率79 GHz 360°雷达采集，并融合立体图像、32通道激光雷达和GPS数据，旨在解决雾、雨、雪等恶劣天气条件下的感知挑战。