Raphael Trumpp

According to our database, Raphael Trumpp authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving.

Fabian Konstantinidis, Ariel Dallari Guerreiro, Raphael Trumpp, Moritz Sackmann, Ulrich Hofmann, Marco Caccamo, Christoph Stiller

CoRR, July, 2025

Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learning.

Raphael Trumpp, Ansgar Schäfftlein, Mirco Theile, Marco Caccamo

CoRR, March, 2025

2024

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints.

Mirco Theile, Lukas Dirnberger, Raphael Trumpp, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli

CoRR, 2024

Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks.

Benjamin David Evans, Raphael Trumpp, Marco Caccamo, Hendrik Willem Jordaan, Herman Arnold Engelbrecht

CoRR, 2024

Learning to Generate All Feasible Actions.

Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli

IEEE Access, 2024

RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning.

Raphael Trumpp, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, Marco Caccamo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations.

Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo

CoRR, 2023

Residual Policy Learning for Vehicle Control of Autonomous Racing Cars.

Raphael Trumpp, Denis Hoornaert, Marco Caccamo

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Efficient Learning of Urban Driving Policies Using Bird'View State Representations.

Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance.

Raphael Trumpp, Harald Bayerlein, David Gesbert

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022