4Seasons 自动驾驶数据集

4Seasons 是关于自动驾驶中季节性和挑战性感知条件的数据集。数据是在不同场景、不同天气条件和不同照明条件下收集的，如白天和晚上。该数据集包含从城市的多层停车场（包括隧道）到农村和高速公路 等 9 种环境下超过 350 公里的路程的图像。

4Seasons is a dataset dedicated to seasonal and challenging perception conditions for autonomous driving. The data was collected across diverse scenarios, weather conditions and lighting conditions, including daytime and nighttime. This dataset contains images captured during over 350 kilometers of driving in 9 types of environments, ranging from multi-story urban parking lots (including tunnels) to rural areas and highways, and so on.

搜集汇总

背景与挑战

背景概述

4Seasons是一个专注于自动驾驶季节性和挑战性感知条件的数据集，采集了超过350公里、涵盖9种不同环境（包括城市多层停车场、农村和高速公路）以及多种天气和光照条件下的图像。该数据集适用于视觉测绘、全局位置识别和基于地图的重新定位追踪等研究。