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Papers Benchmarks Datasets Tasks

nuScenes dataset and benchmarks – Page 4 · SOTA2 Research

Research Datasets

nuScenes

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

3D Object Detection

nuScenes Nighttime (val)

42.4mAP

26

Place Recognition

nuScenes (BS)

99.13AR@1

25

Trajectory Prediction

nuScenes (Leaderboard)

0.88minADE5

25

Point cloud registration

nuScenes

0.2RRE (°)

25

BEV segmentation

nuScenes v1.0 (val)

90.5Drivable Area

25

3D Object Detection

nuScenes LiDAR Motionblur

63.93NDS

24

3D Object Detection

nuScenes Dark

68.28NDS

24

3D Object Detection

nuScenes Camera Motionblur

69.49NDS

24

3D Object Detection

nuScenes Camera Fog

68.38NDS

24

End-to-end planning

nuScenes (open-loop)

0L2 Error (1s)

24

Trajectory Prediction

nuScenes

0.336minADE6

24

Adversarial Attack

nuScenes (val)

62.6ASR (2.0m)

24

Depth Completion

nuScenes

2.177MAE

24

Place Recognition

nuScenes (SON)

99.74AR@1

24

3D Object Detection

nuScenes-C (val)

67.12mAP (Snow)

24

Image Quality Assessment

nuScenes nighttime (val)

51.674MUSIQ Score

24

Motion Prediction

nuScenes v1.0-trainval (test)

0Mean Error

24

Video Prediction

nuScenes (val)

0.33FID

24

3D Object Detection

nuScenes (val)

75mAP

23

Vectorized Map Construction

nuScenes

76.1AP (Divider)

23

Trajectory Prediction

nuScenes v1.0-trainval (val)

0.14L2 Error (1s)

23

nuScenes (val)

72.3mAP

23

nuScenes v1.0 (val)

0.15Collision Rate (3s)

22

Regression Calibration

nuScenes In-Distribution

1.518MCA (xyz)

22

3D semantic occupancy prediction

nuScenes

20.3mIoU

22

Page 4 of 30

Popular tasks

3D Object Detection Planning Depth Estimation Trajectory Prediction Object Detection

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