felix fent
Scholar

felix fent

Google Scholar ID: wxWHG3IAAAAJ
Chair of Automotive Technology, Technical University of Munich
Autonomous DrivingPerceptionMachine LearningDeep LearningSensor Fusion
Citations & Impact
All-time
Citations
464
 
H-index
11
 
i10-index
11
 
Publications
18
 
Co-authors
31
list available
Publications
18 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions. (Advances in Neural Information Processing Systems, 2024)
  • - DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection. (IEEE Transactions on Intelligent Vehicles, 2024)
  • - Evaluating Pedestrian Trajectory Prediction Methods With Respect to Autonomous Driving. (IEEE Transactions on Intelligent Transportation Systems, 2024)
  • - TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. (Journal of Field Robotics, 2023)
  • - RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception. (2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023)
  • - Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems. (IEEE Access, 2023)
Research Experience
  • - March 2021 - present: Multimodal Object Detection
  • - March 2021 - June 2024: Autonomous Innovation in the Terminal Process
  • - November 2021 - January 2022: Autonomous Challenge at CES
  • - March 2021 - October 2021: Indy Automonous Challenge
Education
  • No specific educational background information provided.
Background
  • Research interests include autonomous driving technology, multimodal object detection, and artificial intelligence applications in automotive technology.
Miscellany
  • Contact Information:
  • - Email: felix.fent(at)tum.de
  • - Room: MW 3508
  • - Phone: +49.89.289.15347
  • - Fax: +49.89.289.15357