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. 1607.04788
  4. Cited By
Fast and Bounded Probabilistic Collision Detection in Dynamic
  Environments for High-DOF Trajectory Planning

Fast and Bounded Probabilistic Collision Detection in Dynamic Environments for High-DOF Trajectory Planning

16 July 2016
Chonhyon Park
J. S. Park
Tianyi Zhou
ArXiv (abs)PDFHTML

Papers citing "Fast and Bounded Probabilistic Collision Detection in Dynamic Environments for High-DOF Trajectory Planning"

4 / 4 papers shown
Title
SwarmCCO: Probabilistic Reactive Collision Avoidance for Quadrotor
  Swarms under Uncertainty
SwarmCCO: Probabilistic Reactive Collision Avoidance for Quadrotor Swarms under Uncertainty
Senthil Hariharan Arul
Tianyi Zhou
28
10
0
16 Sep 2020
Efficient Probabilistic Collision Detection for Non-Gaussian Noise
  Distributions
Efficient Probabilistic Collision Detection for Non-Gaussian Noise Distributions
J. S. Park
Tianyi Zhou
184
15
0
26 Feb 2019
Provably Safe Robot Navigation with Obstacle Uncertainty
Provably Safe Robot Navigation with Obstacle Uncertainty
Brian Axelrod
L. Kaelbling
Tomás Lozano-Pérez
63
59
0
31 May 2017
Evaluating Trajectory Collision Probability through Adaptive Importance
  Sampling for Safe Motion Planning
Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning
Edward Schmerling
Marco Pavone
76
38
0
17 Sep 2016
1