3d object detection 1autonomous driving 1depth-guided representation 1efficient backbones 1lidar-camera fusion 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
DeGuNet: Depth-Guided Ultra-Compact Backbones for Efficient LiDAR-Camera 3D Detection
Haifa Zhang, Yijing Wang, Peixi Peng +1
DeGuNet is a lightweight image backbone designed for depth‑guided LiDAR‑camera fusion in 3D object detection, reducing model size and memory while improving speed and detection acc…
cs.CV2026
Can BEV Perception Gracefully Degrade under Sensor Failures?
Haifa Zhang, Yijing Wang, Haoyu Wang +2
Despite the remarkable success of multi-modal bird's-eye view (BEV) perception in autonomous driving, current systems exhibit a critical vulnerability: existing fusion mechanisms a…
cs.CV2024
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans
Cedric Perauer, Laurenz Adrian Heidrich, Haifan Zhang +3
Recently, progress in acquisition equipment such as LiDAR sensors has enabled sensing increasingly spacious outdoor 3D environments. Making sense of such 3D acquisitions requires f…