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. 1910.03633
  4. Cited By
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
ArXivPDFHTML

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

1 / 1 papers shown
Title
DIDER: Discovering Interpretable Dynamically Evolving Relations
DIDER: Discovering Interpretable Dynamically Evolving Relations
Enna Sachdeva
Chiho Choi
36
2
0
22 Aug 2022
1