2 citations · 3 across the 4 of their papers we have counts for
4 papers
Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks
Benjamin David Evans, Raphael Trumpp, Marco Caccamo +4
The F1TENTH autonomous driving platform, consisting of 1:10-scale remote-controlled cars, has evolved into a well-established education and research platform. The many publications…
High-performance Racing on Unmapped Tracks using Local Maps
Benjamin David Evans, Hendrik Willem Jordaan, Herman Arnold Engelbrecht
Map-based methods for autonomous racing estimate the vehicle's location, which is used to follow a high-level plan. While map-based optimisation methods demonstrate high-performanc…
High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement Learning
Benjamin David Evans, Herman Arnold Engelbrecht, Hendrik Willem Jordaan
The classical method of autonomous racing uses real-time localisation to follow a precalculated optimal trajectory. In contrast, end-to-end deep reinforcement learning (DRL) can tr…
Bypassing the Simulation-to-reality Gap: Online Reinforcement Learning using a Supervisor
Benjamin David Evans, Johannes Betz, Hongrui Zheng +3
Deep reinforcement learning (DRL) is a promising method to learn control policies for robots only from demonstration and experience. To cover the whole dynamic behaviour of the rob…