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cs.RO2025
Online Velocity Profile Generation and Tracking for Sampling-Based Local Planning Algorithms in Autonomous Racing Environments
Alexander Langmann, Levent Ögretmen, Frederik Werner +1
This work presents an online velocity planner for autonomous racing that adapts to changing dynamic constraints, such as grip variations from tire temperature changes and rubber ac…
cs.RO2025
GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing
Frederik Werner, Ann-Kathrin Schwehn, Markus Lienkamp +1
Conventional trajectory planning approaches for autonomous vehicles often assume a fixed vehicle model that remains constant regardless of the vehicle's location. This overlooks th…
cs.RO2025
A Quasi-Steady-State Black Box Simulation Approach for the Generation of g-g-g-v Diagrams
Frederik Werner, Simon Sagmeister, Mattia Piccinini +1
The classical g-g diagram, representing the achievable acceleration space for a vehicle, is commonly used as a constraint in trajectory planning and control due to its computationa…