20 citations · 26 across the 5 of their papers we have counts for
5 papers
Two-step dynamic obstacle avoidance
Fabian Hart, Martin Waltz, Ostap Okhrin
Dynamic obstacle avoidance (DOA) is a fundamental challenge for any autonomous vehicle, independent of whether it operates in sea, air, or land. This paper proposes a two-step arch…
Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk
Fabian Hart, Ostap Okhrin
In the field of autonomous robots, reinforcement learning (RL) is an increasingly used method to solve the task of dynamic obstacle avoidance for mobile robots, autonomous ships, a…
Vessel-following model for inland waterways based on deep reinforcement learning
Fabian Hart, Ostap Okhrin, Martin Treiber
While deep reinforcement learning (RL) has been increasingly applied in designing car-following models in the last years, this study aims at investigating the feasibility of RL-bas…
Missing Velocity in Dynamic Obstacle Avoidance based on Deep Reinforcement Learning
Fabian Hart, Martin Waltz, Ostap Okhrin
We introduce a novel approach to dynamic obstacle avoidance based on Deep Reinforcement Learning by defining a traffic type independent environment with variable complexity. Fillin…
Formulation and validation of a car-following model based on deep reinforcement learning
Fabian Hart, Ostap Okhrin, Martin Treiber
We propose and validate a novel car following model based on deep reinforcement learning. Our model is trained to maximize externally given reward functions for the free and car-fo…