NuPlan: A closed-loop ML-based planning benchmark for autonomous
vehicles

v1v2v3v4 (latest)

NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

22 June 2021

ArXiv (abs)PDF HTML

Papers citing "NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles"

5 / 255 papers shown

Title
Driving in Real Life with Inverse Reinforcement Learning Tung Phan-Minh Forbes Howington Ting-Sheng Chu Sang Uk Lee Momchil S. Tomov ... Fráncisco Suarez-Ruiz Robert E. Beaudoin Bo Yang Sammy Omari Eric M. Wolff OffRL 185 29 0 07 Jun 2022
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving SimulationIEEE International Conference on Robotics and Automation (ICRA), 2022 Maximilian Igl Daewoo Kim Alex Kuefler Paul Mougin Punit Shah K. Shiarlis Drago Anguelov Mark Palatucci Brandyn White Shimon Whiteson 217 77 0 06 May 2022
Importance is in your attention: agent importance prediction for autonomous driving Christopher Hazard A. Bhagat Balarama Raju Buddharaju Zhongtao Liu Yunming Shao Lu Lu Sammy Omari Henggang Cui 151 11 0 19 Apr 2022
TIP: Task-Informed Motion Prediction for Intelligent Vehicles Xin Huang Guy Rosman A. Jasour Stephen G. McGill J. Leonard B. Williams 311 17 0 17 Oct 2021
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behaviorIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Bassam Helou Aditya Dusi Anne-Sophie Collin N. Mehdipour Zhiliang Chen Cristhian G. Lizarazo C. Belta Tichakorn Wongpiromsarn R. D. Tebbens Oscar Beijbom 155 23 0 28 Jul 2021