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

1 June 2022

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

7 / 7 papers shown

Title
Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems Ziwei Song Mingsong Lv Tianchi Ren Chun Jason Xue Jen-Ming Wu Nan Guan 82 0 0 17 Feb 2025
One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level Sven Ochs Jens Doll Daniel Grimm Tobias Fleck Marc Heinrich ... Daniel Bogdoll Florian Kuhnt Philip Schorner M. Zofka J. Marius Zöllner 21 5 0 03 Apr 2024
Design, Field Evaluation, and Traffic Analysis of a Competitive Autonomous Driving Model in a Congested Environment Daegyu Lee Hyunki Seong Seung-Jun Han Gyuree Kang David Hyunchul Shim Yoonjin Yoon 21 3 0 31 Oct 2022
Local NMPC on Global Optimised Path for Autonomous Racing Dvij Kalaria Parv Maheshwari Animesh Jha A. Issar Debashish Chakravarty S. Anwar A. Towar 30 7 0 15 Sep 2021
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data Adrian Remonda Sarah Krebs Eduardo E. Veas Granit Luzhnica Roman Kern OffRL 32 23 0 22 Apr 2021
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 O. Arslan K. Berntorp Panagiotis Tsiotras 40 62 0 23 Jan 2016