5 papers
Learning-based Multi-agent Race Strategies in Formula 1
Giona Fieni, Joschua Wüthrich, Marc-Philippe Neumann +1
In Formula 1, race strategies are adapted according to evolving race conditions and competitors' actions. This paper proposes a reinforcement learning approach for multi-agent race…
Bridging RL and MPC for mixed-integer optimal control with application to Formula 1 race strategies
Joschua Wüthrich, Romir Damle, Giona Fieni +3
We propose a hybrid reinforcement learning (RL) and model predictive control (MPC) framework for mixed-integer optimal control, where discrete variables enter the cost and dynamics…
A Multi-View Pipeline and Benchmark Dataset for 3D Hand Pose Estimation in Surgery
Valery Fischer, Alan Magdaleno, Anna-Katharina Calek +8
Purpose: Accurate 3D hand pose estimation supports surgical applications such as skill assessment, robot-assisted interventions, and geometry-aware workflow analysis. However, surg…
Towards Learning-Based Formula 1 Race Strategies
Giona Fieni, Joschua Wüthrich, Marc-Philippe Neumann +2
This paper presents two complementary frameworks to optimize Formula 1 race strategies, jointly accounting for energy allocation, tire wear and pit stop timing. First, the race sce…
RocSync: Millisecond-Accurate Temporal Synchronization for Heterogeneous Camera Systems
Jaro Meyer, Frédéric Giraud, Joschua Wüthrich +3
Accurate spatiotemporal alignment of multi-view video streams is essential for a wide range of dynamic-scene applications such as multi-view 3D reconstruction, pose estimation, and…