LISA Traffic Light Dataset

To provide a shared basis for comparing traffic light recognition (TLR) systems, the authors publish an extensive public LISA Traffic Light Dataset based on footage from US roads. The dataset contains annotated video sequences, captured under varying light and weather conditions using a stereo camera. The database consists of continuous test and training video sequences, totaling 43,007 frames and 113,888 annotated traffic lights. The sequences are captured by a stereo camera mounted on the roof of a vehicle driving under both night- and daytime with varying light and weather conditions.

为构建交通信号灯识别（TLR）系统之间比较的共同基础，作者们基于美国道路的监控视频，发布了一个庞大的公共LISA交通信号灯数据集。该数据集包含在多变的光照和天气条件下，利用立体相机捕获的标注视频序列。数据库由连续的测试和训练视频序列组成，总计43,007帧和113,888个标注的交通信号灯。视频序列由安装在车辆屋顶的立体相机捕获，车辆在昼夜交替、光照和天气条件多变的情况下行驶。

搜集汇总

背景与挑战

背景概述

LISA Traffic Light Dataset是一个用于自动驾驶领域的目标检测数据集，包含43016张图像和219832个标注对象，涵盖14种交通信号灯状态类别。数据通过立体相机在不同光照和天气条件下采集，包含白天和夜晚场景，并分为训练集和测试集，旨在为交通信号灯识别系统提供标准化评估基准。