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2205.09370
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TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach
19 May 2022
Edoardo Ghignone
Nicolas Baumann
Mike Boss
Michele Magno
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Papers citing
"TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach"
9 / 9 papers shown
Title
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Benedict Hildisch
Edoardo Ghignone
Nicolas Baumann
Cheng Hu
Andrea Carron
Michele Magno
34
0
0
12 May 2025
FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions
Cheng Hu
Jihao Huang
Wule Mao
Yonghao Fu
Xuemin Chi
Haotong Qin
Nicolas Baumann
Zhitao Liu
Michele Magno
Lei Xie
58
0
0
08 Mar 2025
Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing
Andrew Murdoch
J. C. Schoeman
H. W. Jordaan
19
2
0
11 Dec 2023
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
Bernd Frauenknecht
Tobias Ehlgen
Sebastian Trimpe
34
3
0
30 Nov 2023
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots
Vlad Niculescu
T. Polonelli
Michele Magno
Luca Benini
23
14
0
21 Sep 2023
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar
Andrea Ronco
Nicolas Baumann
Marco Giordano
Michele Magno
32
1
0
04 Sep 2023
High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement Learning
B. D. Evans
H. Engelbrecht
H. W. Jordaan
19
18
0
12 Jun 2023
Hierarchical Control for Head-to-Head Autonomous Racing
Rishabh Saumil Thakkar
Aryaman Singh Samyal
David Fridovich-Keil
Zhe Xu
Ufuk Topcu
18
3
0
25 Feb 2022
Model Learning and Contextual Controller Tuning for Autonomous Racing
Lukas P. Frohlich
Christian Küttel
Elena Arcari
Lukas Hewing
M. Zeilinger
Andrea Carron
42
8
0
06 Oct 2021
1