Brno Urban Dataset

Brno Urban Dataset是由中欧技术研究所创建的一个用于自动驾驶和地图任务的新数据集。该数据集包含超过350公里的行车记录，涵盖了从高速公路到乡村道路，从密集建设区到森林的多样化环境。数据集通过四个WUXGA摄像头、两个3D LiDARs、惯性测量单元、红外摄像头和差分RTK GNSS接收器收集，具有厘米级精度。数据集的创建旨在为自动驾驶领域的研究提供高质量、高精度的数据支持，解决自动驾驶车辆在复杂环境中的定位和导航问题。

Brno Urban Dataset is a novel dataset created by the Central European Institute of Technology for autonomous driving and mapping tasks. This dataset contains over 350 kilometers of driving recordings, covering diverse environments ranging from highways to rural roads, and from densely built-up areas to forests. Collected via four WUXGA cameras, two 3D LiDARs, an inertial measurement unit, an infrared camera, and a differential RTK GNSS receiver, it boasts centimeter-level accuracy. The dataset was developed to provide high-quality, high-precision data support for research in the field of autonomous driving, addressing the positioning and navigation challenges of autonomous vehicles in complex environments.

搜集汇总

背景与挑战

背景概述

Brno Urban Dataset是由中欧技术研究所创建的自动驾驶数据集，包含超过350公里的多样化行车记录，覆盖高速公路、乡村道路等环境。数据集通过多传感器（如摄像头、LiDAR、GNSS）采集，具有厘米级精度，旨在为自动驾驶的定位和导航研究提供高质量数据支持。