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Datasets/aiMotive Dataset

aiMotive Dataset

aiMotive Multimodal Dataset

3DImagesLiDARTrackingCC BY-NC-SA 4.0Introduced 2022-11-17

aiMotive dataset is a multimodal dataset for robust autonomous driving with long-range perception. The dataset consists of 176 scenes with synchronized and calibrated LiDAR, camera, and radar sensors covering a 360-degree field of view. The collected data was captured in highway, urban, and suburban areas during daytime, night, and rain and is annotated with 3D bounding boxes with consistent identifiers across frames.

Benchmarks

16k/BEV AP@0.3 Highway16k/BEV AP@0.3 Night16k/BEV AP@0.3 Rain16k/BEV AP@0.3 Urban2D Classification/BEV AP@0.3 Highway2D Classification/BEV AP@0.3 Night2D Classification/BEV AP@0.3 Rain2D Classification/BEV AP@0.3 Urban2D Object Detection/BEV AP@0.3 Highway2D Object Detection/BEV AP@0.3 Night2D Object Detection/BEV AP@0.3 Rain2D Object Detection/BEV AP@0.3 Urban3D/BEV AP@0.3 Highway3D/BEV AP@0.3 Night3D/BEV AP@0.3 Rain3D/BEV AP@0.3 Urban3D Object Detection/BEV AP@0.3 Highway3D Object Detection/BEV AP@0.3 Night3D Object Detection/BEV AP@0.3 Rain3D Object Detection/BEV AP@0.3 UrbanObject Detection/BEV AP@0.3 HighwayObject Detection/BEV AP@0.3 NightObject Detection/BEV AP@0.3 RainObject Detection/BEV AP@0.3 Urban

Statistics

Papers
5
Benchmarks
24

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Tasks

16k2D Classification2D Object Detection3D3D Object DetectionObject DetectionObject Tracking