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Multi-Vehicle Interaction Scenarios Generation with Interpretable
  Traffic Primitives and Gaussian Process Regression

Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression

8 October 2019
Weiyang Zhang
Wenshuo Wang
Ding Zhao
ArXiv (abs)PDFHTML

Papers citing "Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression"

5 / 5 papers shown
Motion planning for off-road autonomous driving based on human-like
  cognition and weight adaptation
Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation
Yu-Cai Wang
Cheng Gong
Jianwei Gong
Peng Jia
194
6
0
27 Apr 2024
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A
  Survey
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey
barbara Schutt
Joshua Ransiek
Thilo Braun
Eric Sax
192
26
0
21 Apr 2023
DIDER: Discovering Interpretable Dynamically Evolving Relations
DIDER: Discovering Interpretable Dynamically Evolving RelationsIEEE Robotics and Automation Letters (RA-L), 2022
Enna Sachdeva
Chiho Choi
383
3
0
22 Aug 2022
Brain-Inspired Modelling and Decision-making for Human-Like Autonomous
  Driving in Mixed Traffic Environment
Brain-Inspired Modelling and Decision-making for Human-Like Autonomous Driving in Mixed Traffic Environment
Peng Hang
Yiran Zhang
Cheng Lv
158
1
0
10 Jan 2022
Robust Unsupervised Learning of Temporal Dynamic Interactions
Robust Unsupervised Learning of Temporal Dynamic Interactions
Aritra Guha
Rayleigh Lei
Jiacheng Zhu
X. Nguyen
Ding Zhao
159
0
0
18 Jun 2020
1
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