Overview
The KITTI Vision Benchmark Suite is a collection of datasets designed for autonomous driving research. Captured using an autonomous driving platform, it offers benchmarks for tasks like stereo vision, optical flow, visual odometry, and 3D object detection and tracking. The dataset includes images from high-resolution color and grayscale cameras, along with accurate ground truth data from a Velodyne laser scanner and GPS localization. The data is captured in diverse environments, including urban, rural, and highway settings. Up to 15 cars and 30 pedestrians are visible per image. It reduces bias in existing benchmarks by providing real-world scenarios with novel difficulties.