OPR-Project/OxfordRobotCar_OpenPlaceRecognition

牛津机器人汽车数据集是一个自主驾驶数据集，于2014年5月至2015年12月间收集。使用牛津机器人汽车平台，即自动驾驶的日产聆风汽车，在牛津市中心平均每周行驶两次，记录了超过1000公里的交通数据，收集了近2000万张图片，这些图片来自于车上安装的六个摄像头，并伴随有LIDAR、GPS和惯性导航系统（INS）的数据。数据在各种天气条件下收集，包括大雨、夜间、直射阳光和雪天。这是一个专门预处理过的子集，用于OpenPlaceRecognition库中的位置识别任务。

The Oxford RobotCar Dataset is an autonomous driving dataset collected between May 2014 and December 2015. Using the Oxford RobotCar platform, an autonomous Nissan LEAF vehicle, we drove a route through Oxford city centre on average twice a week, recording more than 1,000 km of traffic data and collecting nearly 20 million images from six cameras mounted on the car, along with data from LIDAR, GPS, and INS, under various weather conditions such as heavy rain, nighttime, direct sunlight, and snow. This is a specifically pre-processed subset designed for the place recognition task in the OpenPlaceRecognition library.