厂区室内外场景定位与建图标准数据集

主要面向自主机器人与人工智能研究、高质量多传感器SLAM数据集需求建设，基于自主研发的一体式多传感器平台采集产生，基于双目彩色相机、双目灰度相机、激光雷达、轮速计、IMU等传感器进行高时空精度的同步采集，采集场景为上海交通大学华联生活中心周边区域，场景特点为存在较多的标志牌、路障等室外典型部件。存在高动态(车流、人流大)等。This dataset is primarily intended for autonomous robotics and artificial intelligence research, and was developed to address the demand for high-quality multi-sensor SLAM datasets. It was collected using an independently developed integrated multi-sensor platform, which performs synchronous data collection with high spatiotemporal precision through a suite of sensors including binocular color cameras, binocular grayscale cameras, LiDAR, wheel speed sensors, and IMUs. Data was collected in the surrounding area of Hualian Life Center, Shanghai Jiao Tong University. The scene features a large number of typical outdoor elements such as traffic signs and roadblocks, as well as highly dynamic conditions with heavy vehicle and pedestrian traffic.

搜集汇总

背景与挑战

背景概述

该数据集面向自主机器人与人工智能研究领域，旨在提供高质量多传感器SLAM数据。它基于自主研发的一体式平台，在上海交通大学华联生活中心周边区域采集，场景包含标志牌、路障等室外部件以及高动态环境如车流和人流。