Torben Teepe — accepted AI-conference papers

2026

SpaRC: Sparse Radar-Camera Fusion for 3D Object Detection

Philipp Wolters, Johannes Gilg, Torben Teepe, Fabian Herzog, Felix Fent, Gerhard Rigoll

ICRA 2026poster

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 radar and camera modalities has emerged as an efficient perception paradigm for autonomous driving systems. While convent…

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2025

Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception

Philipp Wolters, Johannes Gilg, Torben Teepe, Fabian Herzog, Anouar Laouichi, Martin Hofmann +1

ICRA 2025

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 primary challenge in becoming a fully reliable alternative lies in robust depth prediction capabilities, as camera-based syste

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