ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.03408
  4. Cited By
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow

7 November 2022
Zhengbang Zhu
Shenyu Zhang
Yuzheng Zhuang
Yuecheng Liu
Minghuan Liu
Liyuan Mao
Ziqing Gong
Shixiong Kai
Qiang Gu
Bin Wang
Siqi Cheng
Xinyu Wang
Jianye Hao
Yong Yu
ArXivPDFHTML

Papers citing "RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow"

8 / 8 papers shown
Title
CORTEX-AVD: A Framework for CORner Case Testing and EXploration in Autonomous Vehicle Development
CORTEX-AVD: A Framework for CORner Case Testing and EXploration in Autonomous Vehicle Development
Gabriel Kenji Godoy Shimanuki
Alexandre Moreira Nascimento
Lucio Flavio Vismari
Joao Batista Camargo Junior
Jorge Rady de Almeida Junior
Paulo Sergio Cugnasca
24
0
0
04 Apr 2025
DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models
Shenyu Zhang
Jiaguo Tian
Zhengbang Zhu
Shan Huang
Jucheng Yang
Weinan Zhang
39
0
0
04 Mar 2025
Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety
Gabriel Kenji Godoy Shimanuki
Alexandre Moreira Nascimento
Lucio Flavio Vismari
Joao Batista Camargo Junior
Jorge Rady de Almeida Junior
Paulo Sergio Cugnasca
41
1
0
27 Feb 2025
Applications of Large Scale Foundation Models for Autonomous Driving
Applications of Large Scale Foundation Models for Autonomous Driving
Yu Huang
Yue Chen
Zhu Li
ELM
AI4CE
LRM
ALM
LM&Ro
61
15
0
20 Nov 2023
Data-driven Traffic Simulation: A Comprehensive Review
Data-driven Traffic Simulation: A Comprehensive Review
Di Chen
Meixin Zhu
H. Yang
Xuesong Wang
Yinhai Wang
26
26
0
24 Oct 2023
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRL
AI4TS
115
237
0
20 May 2022
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
BARK: Open Behavior Benchmarking in Multi-Agent Environments
BARK: Open Behavior Benchmarking in Multi-Agent Environments
Julian Bernhard
Klemens Esterle
Patrick Hart
Tobias Kessler
90
41
0
05 Mar 2020
1