activity
20222025
most citedMulti-Modal Sensor Fusion and Object Tracking for Autonomous Racing

61 citations · 62 across the 6 of their papers we have counts for

collaborators

5 papers

cs.CV2025

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software

Loïc Stratil, Felix Fent, Esteban Rivera +1

Autonomous vehicle perception typically relies on modular pipelines that decompose the task into detection, tracking, and prediction. While interpretable, these pipelines suffer fr…

cs.CV2025

Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera Sensors

Ilir Tahiraj, Jeremialie Swadiryus, Felix Fent +1

The goal of extrinsic calibration is the alignment of sensor data to ensure an accurate representation of the surroundings and enable sensor fusion applications. From a safety pers…

cs.CV2024

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…

cs.CV2024

MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions

Felix Fent, Fabian Kuttenreich, Florian Ruch +8

Autonomous trucking is a promising technology that can greatly impact modern logistics and the environment. Ensuring its safety on public roads is one of the main duties that requi…

cs.RO2022

Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits

Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz +15

Motorsport has always been an enabler for technological advancement, and the same applies to the autonomous driving industry. The team TUM Auton-omous Motorsports will participate…