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Winning the 3rd Japan Automotive AI Challenge -- Autonomous Racing with
  the Autoware.Auto Open Source Software Stack

Winning the 3rd Japan Automotive AI Challenge -- Autonomous Racing with the Autoware.Auto Open Source Software Stack

1 June 2022
Zirui Zang
Renukanandan Tumu
Johannes Betz
Hongrui Zheng
Rahul Mangharam
ArXivPDFHTML

Papers citing "Winning the 3rd Japan Automotive AI Challenge -- Autonomous Racing with the Autoware.Auto Open Source Software Stack"

5 / 5 papers shown
Title
Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems
Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems
Ziwei Song
Mingsong Lv
Tianchi Ren
Chun Jason Xue
Jen-Ming Wu
Nan Guan
77
0
0
17 Feb 2025
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
14
7
0
15 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
59
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
26
62
0
23 Jan 2016
1