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AMZ Driverless: The Full Autonomous Racing System

AMZ Driverless: The Full Autonomous Racing System

13 May 2019
Juraj Kabzan
M. I. Valls
Victor Reijgwart
Hubertus Franciscus Cornelis Hendrikx
Claas Ehmke
Manish Prajapat
A. Bühler
N. Gosala
Mehak Gupta
R. Sivanesan
Ankit Dhall
Eugenio Chisari
Napat Karnchanachari
Sonja Brits
Manuel Dangel
Inkyu Sa
Renaud Dubé
Abel Gawel
Mark Pfeiffer
Alexander Liniger
John Lygeros
Roland Siegwart
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Papers citing "AMZ Driverless: The Full Autonomous Racing System"

50 / 55 papers shown
Title
ZeloS -- A Research Platform for Early-Stage Validation of Research Findings Related to Automated Driving
ZeloS -- A Research Platform for Early-Stage Validation of Research Findings Related to Automated Driving
Christopher Bohn
Florian Siebenrock
Janne Bosch
Tobias Hetzner
Samuel Mauch
Philipp Reis
Timo Staudt
Manuel Hess
Ben-Micha Piscol
Sören Hohmann
LLMSV
50
0
0
05 May 2025
The Autonomous Software Stack of the FRED-003C: The Development That Led to Full-Scale Autonomous Racing
The Autonomous Software Stack of the FRED-003C: The Development That Led to Full-Scale Autonomous Racing
Zalán Demeter
Levente Puskás
Balázs Kovács
Ádám Matkovics
Martin Nádas
Balázs Tuba
Zsolt Farkas
Ármin Bogár-Németh
Gergely Bári
33
0
0
25 Apr 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
Agile Mobility with Rapid Online Adaptation via Meta-learning and Uncertainty-aware MPPI
Agile Mobility with Rapid Online Adaptation via Meta-learning and Uncertainty-aware MPPI
Dvij Kalaria
Haoru Xue
Wenli Xiao
Tony Tao
Guanya Shi
John M. Dolan
39
1
0
09 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
Autonomous Drifting Based on Maximal Safety Probability Learning
Autonomous Drifting Based on Maximal Safety Probability Learning
Hikaru Hoshino
Jiaxing Li
Arnav Menon
John M. Dolan
Yorie Nakahira
18
0
0
05 Sep 2024
Fast and Modular Autonomy Software for Autonomous Racing Vehicles
Fast and Modular Autonomy Software for Autonomous Racing Vehicles
Andrew Saba
Aderotimi Adetunji
Adam Johnson
Aadi Kothari
Matthew Sivaprakasam
...
Nickolas Stathas
Nayana Suvarna
Chuan Tian Zhang
Sebastian Scherer
Deva Ramanan
36
3
0
27 Aug 2024
Winning Through Simplicity: Autonomous Car Design for Formula Student
Winning Through Simplicity: Autonomous Car Design for Formula Student
Tobias Friedrich
Marco Müller
Adrian Bauske
Simon Härtl
Johannes Herrmann
David Förster
Tobias Tietze
Sebastian Sartor
24
0
0
19 Jun 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time
  RL
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
Lenart Treven
Bhavya Sukhija
Yarden As
Florian Dorfler
Andreas Krause
39
0
0
03 Jun 2024
NeoRL: Efficient Exploration for Nonepisodic RL
NeoRL: Efficient Exploration for Nonepisodic RL
Bhavya Sukhija
Lenart Treven
Florian Dorfler
Stelian Coros
Andreas Krause
OffRL
33
0
0
03 Jun 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
29
0
0
25 May 2024
Bridging the Sim-to-Real Gap with Bayesian Inference
Bridging the Sim-to-Real Gap with Bayesian Inference
Jonas Rothfuss
Bhavya Sukhija
Lenart Treven
Florian Dorfler
Stelian Coros
Andreas Krause
AI4CE
41
3
0
25 Mar 2024
Deep Reinforcement Learning for Local Path Following of an Autonomous
  Formula SAE Vehicle
Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE Vehicle
Harvey Merton
Thomas Delamore
Karl Stol
Henry Williams
13
0
0
05 Jan 2024
A Tricycle Model to Accurately Control an Autonomous Racecar with Locked
  Differential
A Tricycle Model to Accurately Control an Autonomous Racecar with Locked Differential
Ayoub Raji
Nicola Musiu
A. Toschi
Francesco Prignoli
Eugenio Mascaro
Pietro Musso
Francesco Amerotti
Alexander Liniger
Silvio Sorrentino
Marko Bertogna
16
11
0
22 Dec 2023
Data-Efficient Task Generalization via Probabilistic Model-based Meta
  Reinforcement Learning
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning
Arjun Bhardwaj
Jonas Rothfuss
Bhavya Sukhija
Yarden As
Marco Hutter
Stelian Coros
Andreas Krause
29
5
0
13 Nov 2023
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
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
33
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
26
6
0
14 Aug 2023
RACECAR -- The Dataset for High-Speed Autonomous Racing
RACECAR -- The Dataset for High-Speed Autonomous Racing
A. Kulkarni
John Chrosniak
Emory Ducote
Florian Sauerbeck
Andrew Saba
Utkarsh Chirimar
J. Link
Marcello Cellina
Madhur Behl
19
8
0
05 Jun 2023
An Autonomous System for Head-to-Head Race: Design, Implementation and
  Analysis; Team KAIST at the Indy Autonomous Challenge
An Autonomous System for Head-to-Head Race: Design, Implementation and Analysis; Team KAIST at the Indy Autonomous Challenge
Chanyoung Jung
Andrea Finazzi
Hyunki Seong
Daegyu Lee
Seungwook Lee
Bosung Kim
Gyuri Gang
Seung-Jun Han
David Hyunchul Shim
22
10
0
16 Mar 2023
Adaptive Planning and Control with Time-Varying Tire Models for
  Autonomous Racing Using Extreme Learning Machine
Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine
Dvij Kalaria
Qin Lin
John M. Dolan
16
12
0
14 Mar 2023
Towards Safety Assured End-to-End Vision-Based Control for Autonomous
  Racing
Towards Safety Assured End-to-End Vision-Based Control for Autonomous Racing
Dvij Kalaria
Qin Lin
John M. Dolan
40
4
0
03 Mar 2023
Model Parameter Identification via a Hyperparameter Optimization Scheme
  for Autonomous Racing Systems
Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing Systems
Hyunki Seong
Chanyoung Chung
David Hyunchul Shim
11
5
0
04 Jan 2023
Chronos and CRS: Design of a miniature car-like robot and a software
  framework for single and multi-agent robotics and control
Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control
Andrea Carron
Sabrina Bodmer
Lukas Vogel
René Zurbrugg
David Helm
Rahel Rickenbach
S. Muntwiler
Jerome Sieber
M. Zeilinger
24
15
0
24 Sep 2022
Model- and Acceleration-based Pursuit Controller for High-Performance
  Autonomous Racing
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing
Jonathan Becker
Nadine Imholz
Luca Schwarzenbach
Edoardo Ghignone
Nicolas Baumann
Michele Magno
42
25
0
09 Sep 2022
Intelligent Amphibious Ground-Aerial Vehicles: State of the Art
  Technology for Future Transportation
Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation
Xuzhi Zhang
Jiangeng Huang
Yuanhao Huang
K. Huang
Lei Yang
Yan Han
Li-e Wang
Huaping Liu
Jianxi Luo
Jun Li
26
19
0
23 Jul 2022
TUM autonomous motorsport: An autonomous racing software for the Indy
  Autonomous Challenge
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge
Johannes Betz
Tobias Betz
F. Fent
Maximilian Geisslinger
Alexander Heilmeier
...
Florian Sauerbeck
Tim Stahl
Rainer Trauth
Frederik Werner
A. Wischnewski
34
60
0
31 May 2022
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing
  -- A Reinforcement Learning Approach
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach
Edoardo Ghignone
Nicolas Baumann
Mike Boss
Michele Magno
34
13
0
19 May 2022
Factor Graph-Based Planning as Inference for Autonomous Vehicle Racing
Factor Graph-Based Planning as Inference for Autonomous Vehicle Racing
Salman Bari
Xiagong Wang
Ahmad Schoha Haidari
D. Wollherr
41
0
0
07 Mar 2022
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
Johannes Betz
Hongrui Zheng
Alexander Liniger
Ugo Rosolia
Phillip Karle
Madhur Behl
V. Krovi
Rahul Mangharam
35
212
0
14 Feb 2022
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits
A. Wischnewski
Maximilian Geisslinger
Johannes Betz
Tobias Betz
F. Fent
...
Florian Sauerbeck
Tim Stahl
Rainer Trauth
Markus Lienkamp
Boris Lohmann
31
44
0
08 Feb 2022
Smooth Model Predictive Path Integral Control without Smoothing
Smooth Model Predictive Path Integral Control without Smoothing
Taekyung Kim
Gyuhyun Park
K. Kwak
Jihwan Bae
Wonsuk Lee
27
38
0
18 Dec 2021
Competitive Driving of Autonomous Vehicles
Competitive Driving of Autonomous Vehicles
G. Hartmann
Z. Shiller
A. Azaria
24
8
0
12 Sep 2021
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement
  Learning
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
Peide Cai
Hengli Wang
Huaiyang Huang
Yuxuan Liu
Ming-Yu Liu
17
64
0
18 Jul 2021
Game-Theoretic Model Predictive Control with Data-Driven Identification
  of Vehicle Model for Head-to-Head Autonomous Racing
Game-Theoretic Model Predictive Control with Data-Driven Identification of Vehicle Model for Head-to-Head Autonomous Racing
Chanyoung Jung
Seungwoo Lee
Hyunki Seong
Andrea Finazzi
David Hyunchul Shim
13
23
0
08 Jun 2021
MODISSA: a multipurpose platform for the prototypical realization of
  vehicle-related applications using optical sensors
MODISSA: a multipurpose platform for the prototypical realization of vehicle-related applications using optical sensors
Björn Borgmann
Volker Schatz
Marcus Hammer
Marcus Hebel
Michael Arens
Uwe Stilla
19
6
0
28 May 2021
Fusion of Heterogeneous Friction Estimates for Traction Adaptive Motion
  Planning and Control
Fusion of Heterogeneous Friction Estimates for Traction Adaptive Motion Planning and Control
Lars Svensson
Martin Törngren
25
8
0
14 May 2021
Accurate outdoor ground truth based on total stations
Accurate outdoor ground truth based on total stations
Maxime Vaidis
Philippe Giguère
F. Pomerleau
V. Kubelka
16
10
0
29 Apr 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Axel Brunnbauer
Luigi Berducci
Andreas Brandstätter
Mathias Lechner
Ramin Hasani
Daniela Rus
Radu Grosu
LM&Ro
38
37
0
08 Mar 2021
A Holistic Motion Planning and Control Solution to Challenge a
  Professional Racecar Driver
A Holistic Motion Planning and Control Solution to Challenge a Professional Racecar Driver
S. Srinivasan
Sebastian Nicolas Giles
Alexander Liniger
11
19
0
28 Feb 2021
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap
  Time Simulation Using Machine Learning
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning
Sam Garlick
Andrew Bradley
6
9
0
03 Feb 2021
Learning from Simulation, Racing in Reality
Learning from Simulation, Racing in Reality
Eugenio Chisari
Alexander Liniger
Alisa Rupenyan
Luc Van Gool
John Lygeros
33
25
0
26 Nov 2020
The Autonomous Racing Software Stack of the KIT19d
The Autonomous Racing Software Stack of the KIT19d
Sherif Nekkah
Josua Janus
Mario Boxheimer
Lars Ohnemus
Stefan Hirsch
...
Yuchen Liu
David Borbély
Florian Keck
Katharina Bachmann
Lukasz Bleszynski
9
12
0
06 Oct 2020
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement
  Learning
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
Florian Fuchs
Yunlong Song
Elia Kaufmann
Davide Scaramuzza
Peter Dürr
15
123
0
18 Aug 2020
Accurate, Low-Latency Visual Perception for Autonomous
  Racing:Challenges, Mechanisms, and Practical Solutions
Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical Solutions
Kieran L. Strobel
Sibo Zhu
Raphael Chang
Skanda Koppula
43
24
0
28 Jul 2020
Safe Motion Planning for Autonomous Driving using an Adversarial Road
  Model
Safe Motion Planning for Autonomous Driving using an Adversarial Road Model
Alexander Liniger
Luc van Gool
14
14
0
15 May 2020
BayesRace: Learning to race autonomously using prior experience
BayesRace: Learning to race autonomously using prior experience
Achin Jain
Matthew O'Kelly
Pratik Chaudhari
M. Morari
21
27
0
10 May 2020
Quantifying Data Augmentation for LiDAR based 3D Object Detection
Quantifying Data Augmentation for LiDAR based 3D Object Detection
Martin Hahner
Dengxin Dai
Alexander Liniger
Luc Van Gool
3DPC
30
49
0
03 Apr 2020
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