DrivingStereo

by Guorun Yang,Xiao Song,Chaoqin Huang,Zhidong Deng,Jianping Shi,Bolei ZhouUnknown

DrivingStereo

We construct a large-scale stereo dataset named DrivingStereo. It 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. Compared with other dataset, the deep-learning models trained on our DrivingStereo achieve higher generalization accuracy in real-world driving scenes.

Dataset Attributes

Label SVG
TasksDetection
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CategoriesAutonomous Vehicles, Self-Driving, Car, Pedestrian, Signs, Road
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SensorRGB Camera, LiDAR, IMU