AI Paper Atlas

Research map / Detection and segmentation / 3D detection and driving

Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection

CVPR 2023 · Detection and segmentation › 3D detection and driving · approach: Camera-radar fusion detection · 48 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add Radar-to-LiDAR fusion to CenterPoint (ablation)CenterPoint · nuScenes valmAP: 59.3 -> 60.4 (+1.1)Helped
Add Radar-to-LiDAR fusion to CenterPoint (ablation)CenterPoint · nuScenes valmAVE: 30.3 -> 26.2 (-4.1)Helped
Add query-based LiDAR-to-Radar height feature fusion (QHF) (ablation)R2L fusion only · nuScenes valmAP: 60.4 -> 61.3 (+2.0)Helped
Add query-based LiDAR-to-Radar height feature fusion (QHF) (ablation)R2L fusion only · nuScenes valmAVE: 26.2 -> 25.1 (-5.2)Helped
Add query-based LiDAR-to-Radar BEV feature fusion (QBF) (ablation)R2L fusion only · nuScenes valmAP: 60.4 -> 61.9 (+2.6)Helped
Add query-based LiDAR-to-Radar BEV feature fusion (QBF) (ablation)R2L fusion only · nuScenes valmAVE: 26.2 -> 25.5 (-4.8)Helped
Add both QHF and QBF to R2L fusion (ablation)CenterPoint · nuScenes valmAP: 59.3 -> 62.0 (+2.7)Helped
Add both QHF and QBF to R2L fusion (ablation)CenterPoint · nuScenes valmAVE: 30.3 -> 25.0 (-5.3)Helped
Use bidirectional LiDAR-Radar fusion instead of the LiDAR-only baselineCenterPoint · nuScenes testmAP: 60.3 -> 63.1Helped
Use bidirectional LiDAR-Radar fusion instead of the LiDAR-only baselineCenterPoint · nuScenes testmAVE: 28.8 -> 25.7Helped
Use Bi-LRFusion rather than MVDetORR vehicle detection · ORR, IoU=0.5AP: 90.9 -> 92.2Helped
Use Bi-LRFusion rather than MVDetORR vehicle detection · ORR, IoU=0.8AP: 74.6 -> 74.4Hurt

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy