Towards Fast Data-Driven Smooth Path Planning with Fair Curves

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Path planning with smoothness considerations is of relevant interest to ensure the safety and the comfortability of passengers in mobile and vehicle navigation. In this paper, we present our preliminary results in computing smooth paths from observed mobile robot trajectories. Our approach enables the generation of alternative paths safer paths for navigation, and is potential to extend towards the fitting and fairing of curves with utmost efficiency.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020
EditorsW. K. Chan, Bill Claycomb, Hiroki Takakura, Ji-Jiang Yang, Yuuichi Teranishi, Dave Towey, Sergio Segura, Hossain Shahriar, Sorel Reisman, Sheikh Iqbal Ahamed
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1115-1116
Number of pages2
ISBN (Electronic)9781728173030
DOIs
Publication statusPublished - 2020 Jul
Event44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020 - Virtual, Madrid, Spain
Duration: 2020 Jul 132020 Jul 17

Publication series

NameProceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020

Conference

Conference44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020
CountrySpain
CityVirtual, Madrid
Period20/7/1320/7/17

Keywords

  • curve fairing
  • curve fitting
  • mobile robots
  • optimization
  • path smoothing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Software
  • Education

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