This data set provides Light Detection and Ranging (LiDAR) data and stereo image with various position sensors targeting a highly complex urban environment. The presented data set captures features in urban environments (e.g. metropolis areas, complex buildings and residential areas). The data of 2D and 3D LiDAR are provided, which are typical types of LiDAR sensors. Raw sensor data for vehicle navigation is presented in a file format. For convenience, development tools are provided in the Robot Operating System (ROS) environment. Source: https://sites.google.com/view/complex-urban-dataset Image Source: https://irap.kaist.ac.kr/dataset/
The New College Data is a freely available dataset collected from a robot completing several loops outdoors around the New College campus in Oxford. The data includes odometry, laser scan, and visual information. The dataset URL is not working anymore. Source: https://www.ros.org/news/2010/07/new-college-dataset-parser-for-ros.html
AUT-VI is a super-challenging visual inertial dataset with 126 diverse sequences in 17 locations. This dataset contains dynamic objects, challenging loop-closure/map-reuse, different lighting conditions, reflections, and sudden camera movements to cover all extreme navigation scenarios. Moreover, the Android application for data capture is released to the public to support ongoing development efforts. This dataset aims to exploit the remaining challenges in VIO algorithms, in the hope of improving them to facilitate navigation for visually impaired individuals in both indoor and outdoor settings.