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Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing

Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing

14 February 2022
Johannes Betz
Hongrui Zheng
Alexander Liniger
Ugo Rosolia
Phillip Karle
Madhur Behl
V. Krovi
Rahul Mangharam
ArXivPDFHTML

Papers citing "Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing"

17 / 17 papers shown
Title
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
37
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
65
0
0
24 Jan 2025
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
19
0
0
15 Oct 2024
Lane Detection using Graph Search and Geometric Constraints for Formula
  Student Driverless
Lane Detection using Graph Search and Geometric Constraints for Formula Student Driverless
Ivo Ivanov
Carsten Markgraf
9
0
0
25 May 2024
A Sequential Quadratic Programming Approach to the Solution of Open-Loop
  Generalized Nash Equilibria for Autonomous Racing
A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria for Autonomous Racing
Edward L. Zhu
Francesco Borrelli
16
20
0
29 Mar 2024
Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing
Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing
Phillip Karle
F. Fent
Sebastian Huch
Florian Sauerbeck
Markus Lienkamp
14
29
0
12 Oct 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
17
1
0
04 Sep 2023
Ensemble Gaussian Processes for Adaptive Autonomous Driving on
  Multi-friction Surfaces
Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces
Tomávs Nagy
Ahmad Amine
Truong X. Nghiem
Ugo Rosolia
Zirui Zang
Rahul Mangharam
8
7
0
23 Mar 2023
A Benchmark Comparison of Imitation Learning-based Control Policies for
  Autonomous Racing
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing
Xiatao Sun
Mingyan Zhou
Zhijun Zhuang
Shuo Yang
Johannes Betz
Rahul Mangharam
OffRL
16
20
0
29 Sep 2022
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and
  Cross-domain Generalisation in Autonomous Racing
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing
Jonathan M Francis
Bingqing Chen
Siddha Ganju
Sidharth Kathpal
Jyotish Poonganam
...
Ivan Zhukov
Max Kumskoy
Anirudh Koul
Jean Oh
Eric Nyberg
6
11
0
05 May 2022
Stress Testing Autonomous Racing Overtake Maneuvers with RRT
Stress Testing Autonomous Racing Overtake Maneuvers with RRT
Stanley Bak
Johannes Betz
Abhinav Chawla
Hongrui Zheng
Rahul Mangharam
15
7
0
03 Oct 2021
Local NMPC on Global Optimised Path for Autonomous Racing
Local NMPC on Global Optimised Path for Autonomous Racing
Dvij Kalaria
Parv Maheshwari
Animesh Jha
A. Issar
Debashish Chakravarty
S. Anwar
A. Towar
10
7
0
15 Sep 2021
Competitive Driving of Autonomous Vehicles
Competitive Driving of Autonomous Vehicles
G. Hartmann
Z. Shiller
A. Azaria
11
8
0
12 Sep 2021
Formula RL: Deep Reinforcement Learning for Autonomous Racing using
  Telemetry Data
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data
Adrian Remonda
Sarah Krebs
Eduardo E. Veas
Granit Luzhnica
Roman Kern
OffRL
16
17
0
22 Apr 2021
FormulaZero: Distributionally Robust Online Adaptation via Offline
  Population Synthesis
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha
Matthew O'Kelly
Hongrui Zheng
Rahul Mangharam
John C. Duchi
Russ Tedrake
OffRL
49
26
0
09 Mar 2020
Information Theoretic Model Predictive Control: Theory and Applications
  to Autonomous Driving
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams
P. Drews
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
74
198
0
07 Jul 2017
Sampling-based Algorithms for Optimal Motion Planning Using Closed-loop
  Prediction
Sampling-based Algorithms for Optimal Motion Planning Using Closed-loop Prediction
O. Arslan
K. Berntorp
Panagiotis Tsiotras
24
62
0
23 Jan 2016
1