TrajGen: Generating Realistic and Diverse Trajectories with Reactive and
Feasible Agent Behaviors for Autonomous Driving

TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving

31 March 2022

Yikang Zhang

Papers citing "TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving"

7 / 7 papers shown

Title
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review Joshua Ransiek Philipp Reis Tobias Schürmann Eric Sax 69 0 0 21 Sep 2024
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic Yuqi Liu Qichao Zhang Dongbin Zhao 26 14 0 19 Feb 2022
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors Simon Suo S. Regalado Sergio Casas R. Urtasun 140 221 0 17 Jan 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun-Jie Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 131 192 0 19 Oct 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 128 117 0 06 Mar 2020
BARK: Open Behavior Benchmarking in Multi-Agent Environments Julian Bernhard Klemens Esterle Patrick Hart Tobias Kessler 82 41 0 05 Mar 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning Jianyu Chen Shengbo Eben Li M. Tomizuka 45 219 0 23 Jan 2020