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Model- and Acceleration-based Pursuit Controller for High-Performance
  Autonomous Racing

Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing

9 September 2022
Jonathan Becker
Nadine Imholz
Luca Schwarzenbach
Edoardo Ghignone
Nicolas Baumann
Michele Magno
ArXivPDFHTML

Papers citing "Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing"

17 / 17 papers shown
Title
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
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
63
0
0
08 Mar 2025
Reduce Lap Time for Autonomous Racing with Curvature-Integrated MPCC Local Trajectory Planning Method
Reduce Lap Time for Autonomous Racing with Curvature-Integrated MPCC Local Trajectory Planning Method
Zhouheng Li
Lei Xie
Cheng Hu
Hongye Su
55
1
0
06 Feb 2025
Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground Vehicles
Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground Vehicles
Kristóf Floch
Tamás Péni
Roland Tóth
76
0
0
24 Jan 2025
Learning-Based On-Track System Identification for Scaled Autonomous
  Racing in Under a Minute
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute
Onur Dikici
Edoardo Ghignone
Cheng Hu
Nicolas Baumann
Lei Xie
Andrea Carron
Michele Magno
Matteo Corno
83
4
0
26 Nov 2024
A Data-Driven Aggressive Autonomous Racing Framework Utilizing Local Trajectory Planning with Velocity Prediction
A Data-Driven Aggressive Autonomous Racing Framework Utilizing Local Trajectory Planning with Velocity Prediction
Zhouheng Li
Bei Zhou
Cheng Hu
Lei Xie
Hongye Su
26
0
0
15 Oct 2024
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using
  Opponent Trajectory Prediction
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction
Nicolas Baumann
Edoardo Ghignone
Cheng Hu
Benedict Hildisch
Tino Hämmerle
Alessandro Bettoni
Andrea Carron
Lei Xie
Michele Magno
32
2
0
07 Oct 2024
Steering Prediction via a Multi-Sensor System for Autonomous Racing
Steering Prediction via a Multi-Sensor System for Autonomous Racing
Zhuyun Zhou
Zongwei Wu
Florian Bolli
Rémi Boutteau
Fan Yang
Radu Timofte
D. Ginhac
T. Delbruck
28
0
0
28 Sep 2024
Comparing Motion Distortion Between Vehicle Field Deployments
Comparing Motion Distortion Between Vehicle Field Deployments
Nicolas Samson
Dominic Baril
Julien Lépine
Franccois Pomerleau
29
0
0
30 Apr 2024
Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks
Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks
B. D. Evans
Raphael Trumpp
Marco Caccamo
Felix Jahncke
Johannes Betz
H. W. Jordaan
H. Engelbrecht
48
6
0
28 Feb 2024
High-performance Racing on Unmapped Tracks using Local Maps
High-performance Racing on Unmapped Tracks using Local Maps
B. D. Evans
H. W. Jordaan
H. Engelbrecht
23
0
0
31 Jan 2024
Inherently robust suboptimal MPC for autonomous racing with anytime
  feasible SQP
Inherently robust suboptimal MPC for autonomous racing with anytime feasible SQP
Logan Numerow
Andrea Zanelli
Andrea Carron
M. Zeilinger
25
9
0
04 Jan 2024
Partial End-to-end Reinforcement Learning for Robustness Against
  Modelling Error in Autonomous Racing
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
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against
  Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study
Michael Loetscher
Nicolas Baumann
Edoardo Ghignone
Andrea Ronco
Michele Magno
26
2
0
19 Sep 2023
Towards Robust Velocity and Position Estimation of Opponents for
  Autonomous Racing Using Low-Power Radar
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
High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement Learning
B. D. Evans
H. Engelbrecht
H. W. Jordaan
21
18
0
12 Jun 2023
Model Learning and Contextual Controller Tuning for Autonomous Racing
Model Learning and Contextual Controller Tuning for Autonomous Racing
Lukas P. Frohlich
Christian Küttel
Elena Arcari
Lukas Hewing
M. Zeilinger
Andrea Carron
42
21
0
06 Oct 2021
1