The Oxford RobotCar Dataset is a comprehensive resource for long-term autonomous driving research, collected over a year (May 2014 to December 2015) using an autonomous Nissan LEAF equipped with advanced sensors. The dataset covers over 1000km of driving, capturing a wide range of conditions including weather changes, road works, and seasonal variations. It includes 20 million images from six cameras, LIDAR, GPS, and INS data, providing detailed ground truth for localization and mapping. The dataset is available for download and includes MATLAB tools for data manipulation and analysis. The authors aim to accelerate research in long-term autonomy by providing a benchmark for evaluating algorithms in dynamic urban environments.The Oxford RobotCar Dataset is a comprehensive resource for long-term autonomous driving research, collected over a year (May 2014 to December 2015) using an autonomous Nissan LEAF equipped with advanced sensors. The dataset covers over 1000km of driving, capturing a wide range of conditions including weather changes, road works, and seasonal variations. It includes 20 million images from six cameras, LIDAR, GPS, and INS data, providing detailed ground truth for localization and mapping. The dataset is available for download and includes MATLAB tools for data manipulation and analysis. The authors aim to accelerate research in long-term autonomy by providing a benchmark for evaluating algorithms in dynamic urban environments.