Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

CVPR 2019 Yan WangWei-Lun ChaoDivyansh GargBharath HariharanMark CampbellKilian Q. Weinberger

3D object detection is an essential task in autonomous driving. Recent techniques excel with highly accurate detection rates, provided the 3D input data is obtained from precise but expensive LiDAR technology... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
3D object detection from stereo images KITTI Cars Moderate Pseudo-LiDAR AP75 34.05 # 2

Methods used in the Paper


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