KITTI Vision Benchmark Suite

The KITTI Vision Benchmark Suite is a comprehensive collection of data and standardized tests used to evaluate computer vision algorithms for autonomous driving. It includes real-world images and sensor data, such as cameras and lidar, collected from a vehicle navigating urban and rural environments. Researchers use this benchmark to develop and compare systems for tasks like detecting objects, estimating depth, and understanding scenes, ultimately advancing the technology that enables self-driving cars to perceive and interpret their surroundings accurately.