101 traversals of a 10km route through Oxford featuring 20 million images and LIDAR point clouds. This SDK provides Python and MATLAB tools to parse camera, LIDAR, and GPS/INS data collected over a one-year period.
Use Cases
- Process raw Bayer images into RGB format using the 'demosaic' and 'undistort' functions in the Python SDK.
- Synchronize disparate sensor streams by interpolating 'pose' data using the provided 'interpolate_poses' utility.
- Project 2D LIDAR scans into 3D space using the 'build_pointcloud' script and 'extrinsics' calibration files.
Strengths
- Includes Python and MATLAB source code for demosaicing and undistorting 20 million images.
- Provides interpolation functions to synchronize 'ins' and 'laser' data at microsecond precision.
- Contains extrinsic and intrinsic calibration files for 6 cameras and 3 LIDAR sensors.