DrivingStereo
Introduced by Yang et al. in DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios
DrivingStereo contains over 180k images covering a diverse set of driving scenarios, which is hundreds of times larger than the KITTI Stereo dataset. High-quality labels of disparity are produced by a model-guided filtering strategy from multi-frame LiDAR points.
Source: DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving ScenariosPapers
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