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TUM autonomous motorsport: An autonomous racing software for the Indy
  Autonomous Challenge

TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge

31 May 2022
Johannes Betz
Tobias Betz
F. Fent
Maximilian Geisslinger
Alexander Heilmeier
Leonhard Hermansdorfer
T. Herrmann
Sebastian Huch
Phillip Karle
Markus Lienkamp
Boris Lohmann
Felix Nobis
Levent Ogretmen
Matthias Rowold
Florian Sauerbeck
Tim Stahl
Rainer Trauth
Frederik Werner
A. Wischnewski
ArXivPDFHTML

Papers citing "TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge"

30 / 30 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
Online Velocity Profile Generation and Tracking for Sampling-Based Local Planning Algorithms in Autonomous Racing Environments
Online Velocity Profile Generation and Tracking for Sampling-Based Local Planning Algorithms in Autonomous Racing Environments
Alexander Langmann
Levent Ogretmen
Frederik Werner
Johannes Betz
59
0
0
08 May 2025
Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data
Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data
Sven Goblirsch
Benedikt Ruhland
Johannes Betz
Markus Lienkamp
39
0
0
29 Apr 2025
GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing
GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing
Frederik Werner
Ann-Kathrin Schwehn
Markus Lienkamp
Johannes Betz
34
0
0
16 Apr 2025
HALO: Fault-Tolerant Safety Architecture For High-Speed Autonomous Racing
Aron Harder
A. Kulkarni
Madhur Behl
AI4CE
50
0
0
13 Mar 2025
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
AARK: An Open Toolkit for Autonomous Racing Research
AARK: An Open Toolkit for Autonomous Racing Research
J. Bockman
Matthew Howe
Adrian Orenstein
Feras Dayoub
29
0
0
01 Oct 2024
Evaluation of Local Planner-Based Stanley Control in Autonomous RC Car
  Racing Series
Evaluation of Local Planner-Based Stanley Control in Autonomous RC Car Racing Series
Máté Fazekas
Zalán Demeter
János Tóth
Ármin Bogár-Németh
Gergely Bári
33
1
0
27 Aug 2024
Scalable Supervisory Architecture for Autonomous Race Cars
Scalable Supervisory Architecture for Autonomous Race Cars
Zalán Demeter
Péter Bogdán
Ármin Bogár-Németh
Gergely Bári
37
2
0
27 Aug 2024
Three-Dimensional Vehicle Dynamics State Estimation for High-Speed Race
  Cars under varying Signal Quality
Three-Dimensional Vehicle Dynamics State Estimation for High-Speed Race Cars under varying Signal Quality
Sven Goblirsch
Marcel Weinmann
Johannes Betz
37
5
0
27 Aug 2024
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
Adrian Remonda
Nicklas Hansen
Ayoub Raji
Nicola Musiu
Marko Bertogna
Eduardo E. Veas
Xiaolong Wang
45
5
0
23 Jul 2024
Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous
  Racing - An Expert Interview Study
Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study
Frederik Werner
René Oberhuber
Johannes Betz
58
3
0
04 May 2024
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving
  Software: An End-to-End Latency Evaluation
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation
Tobias Betz
Long Wen
F. Pan
Gemb Kaljavesi
Alexander Zuepke
Andrea Bastoni
Marco Caccamo
Alois Knoll
Johannes Betz
35
2
0
19 Apr 2024
Trajectory Planning using Reinforcement Learning for Interactive
  Overtaking Maneuvers in Autonomous Racing Scenarios
Trajectory Planning using Reinforcement Learning for Interactive Overtaking Maneuvers in Autonomous Racing Scenarios
Levent Ogretmen
Mo Chen
Phillip Pitschi
Boris Lohmann
53
1
0
16 Apr 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
31
20
0
29 Mar 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
A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture
A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture
Manuel Mar
Vishnu Pandi Chellapandi
Liangqi Yuan
Ziran Wang
Eric Dietz
34
2
0
04 Feb 2024
er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High
  Speeds
er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds
Ayoub Raji
D. Caporale
Francesco Gatti
Andrea Giove
M. Verucchi
...
Daniele Morra
Francesco Amerotti
Luca Bartoli
Federico Martello
Riccardo Porta
32
14
0
27 Oct 2023
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
30
31
0
12 Oct 2023
Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning
Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning
Iman Askari
Xumein Tu
Shen Zeng
Shen Zeng
Huazhen Fang
24
5
0
12 Oct 2023
EDGAR: An Autonomous Driving Research Platform -- From Feature
  Development to Real-World Application
EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application
Phillip Karle
Tobias Betz
Marcin Bosk
F. Fent
Nils Gehrke
...
K. Bengler
Georg Carle
Frank Diermeyer
Jorg Ott
Markus Lienkamp
21
27
0
27 Sep 2023
Learning Model Predictive Control with Error Dynamics Regression for
  Autonomous Racing
Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing
Haoru Xue
Edward L. Zhu
John M. Dolan
Francesco Borrelli
36
6
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
Enhancing State Estimator for Autonomous Racing : Leveraging Multi-modal
  System and Managing Computing Resources
Enhancing State Estimator for Autonomous Racing : Leveraging Multi-modal System and Managing Computing Resources
Daegyu Lee
Hyunwoo Nam
Chanhoe Ryu
Sun-Young Nah
Seongwoo Moon
David Hyunchul Shim
29
6
0
14 Aug 2023
Efficient Perception, Planning, and Control Algorithm for Vision-Based
  Automated Vehicles
Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles
Der-Hau Lee
21
5
0
15 Sep 2022
MixNet: Structured Deep Neural Motion Prediction for Autonomous Racing
MixNet: Structured Deep Neural Motion Prediction for Autonomous Racing
Phillip Karle
Ferenc Török
Maximilian Geisslinger
Markus Lienkamp
28
8
0
03 Aug 2022
A Resilient Navigation and Path Planning System for High-speed
  Autonomous Race Car
A Resilient Navigation and Path Planning System for High-speed Autonomous Race Car
Daegyu Lee
Chanyoung Jung
Andrea Finazzi
Hyunki Seong
David Hyunchul Shim
14
9
0
25 Jul 2022
Mind the Gap! A Study on the Transferability of Virtual vs
  Physical-world Testing of Autonomous Driving Systems
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems
Andrea Stocco
Brian Pulfer
Paolo Tonella
27
67
0
21 Dec 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
66
26
0
09 Mar 2020
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
43
62
0
23 Jan 2016
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