One of the most popular datasets to test deep learning techniques related to autonomous vehicles. Ground-truth data is collected by driving around a city using a Velodyne laser scanner and a GPS localization system. The car has two high-resolution color and grayscale video cameras to test both monocular and stereo vision algorithms. Dataset can be found here: http://www.cvlibs.net/datasets/kitti/