3 citations · 6 across the 9 of their papers we have counts for
4 papers · 1 filter
SpaRC: Sparse Radar-Camera Fusion for 3D Object Detection
Philipp Wolters, Johannes Gilg, Torben Teepe +3
In this work, we present SpaRC, a novel Sparse fusion transformer for 3D perception that integrates multi-view image semantics with Radar and Camera point features. The fusion of r…
Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle Tracking
Fabian Herzog, Johannes Gilg, Philipp Wolters +2
Accurate online multiple-camera vehicle tracking is essential for intelligent transportation systems, autonomous driving, and smart city applications. Like single-camera multiple-o…
Lifting Multi-View Detection and Tracking to the Bird's Eye View
Torben Teepe, Philipp Wolters, Johannes Gilg +2
Taking advantage of multi-view aggregation presents a promising solution to tackle challenges such as occlusion and missed detection in multi-object tracking and detection. Recent…
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception
Philipp Wolters, Johannes Gilg, Torben Teepe +4
Low-cost, vision-centric 3D perception systems for autonomous driving have made significant progress in recent years, narrowing the gap to expensive LiDAR-based methods. The primar…