BLOG Computer Vision

List of LiDAR Datasets for Autonomous Vehicles Till 2018

Prerak Mody
May 18, 2018

Although 2D camera data is used to teach autonomous vehicles to find their way from Point A to PointB, it comes with its own set of drawbacks. For eg: camera images are not very useful when it is dark or there are reflections due to strong sunlight. Hence, a new type of hardware, termed LiDAR - Light Detection and Ranging, which uses infrared lasers is used to eliminate such issues in scene perception. Find below descriptions of open LiDAR datasets for autonomous vehicles.

Ford Campus LiDAR dataset


The KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) dataset is a widely used computer vision benchmark which was released in 2012. A Volkswagen station was fitted with grayscale and color cameras, a Velodyne 3D Laser Scanner and a GPS/IMU system. They have datasets for various scenarios like urban, residential, highway, and campus. This dataset has been used in papers for object detection such as VoxelNet, MV3D, and Vote3DeepData Formats of different sensors:

Other Popular LiDar Datasets,

Sydney Urban Objects

Stanford Track Collection

Oakland 3D Point Cloud Dataset

With the current wave of innovations in computer vision for object detection and its application in autonomous driving, there is huge scope for more annotated LiDAR datasets. This repo contains labeled 3D point cloud laser data collected from a moving platform in a urban environment.Know more about semantic segmentation datasets here.