KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations. It is the successor of the popular KITTI dataset, providing more comprehensive semantic/instance labels in 2D and 3D, richer 360 degree sensory information (fisheye images and pushbroom laser scans), very accurate and geo-localized vehicle and camera poses, and a series of new challenging benchmarks.
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A dataset capturing diverse visual data formats that target varying luminance conditions, and was recorded from alternative vision sensors, by handheld or mounted on a car, repeatedly in the same space but in different conditions.
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ConsInv is a stereo RGB + IMU dataset designed for Dynamic SLAM testing and contains two subsets:
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