Automatic driving control method based on time delay dynamic prediction

  • Jianhui Zhao
  • , Xinyu Zhang*
  • , Ping Shi
  • , Yuchao Liu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Because of the delay and the front sight distance and other factors in the driving process, self-driving cars can not accurately tracking the path. This paper presents an automatic driving control method based on prediction of the dynamic delay. The vehicle kinematics model to predict the vehicle motion direction and position information of ‘t’ seconds delay time after. And according to deviation value between driving direction and track direction selection the optimal front sight distance. Matlab simulation results show that improved algorithm can track the path at 7 m/s, the average error is controlled within 0.3 M, tracking performance is better than traditional pure pursuit method.

Original languageEnglish
Title of host publicationCognitive Systems and Signal Processing - 3rd International Conference, ICCSIP 2016, Revised Selected Papers
EditorsFuchun Sun, Huaping Liu, Dewen Hu
PublisherSpringer Verlag
Pages443-453
Number of pages11
ISBN (Print)9789811052293
DOIs
StatePublished - 2017
Externally publishedYes
Event3rd International Conference on Cognitive Systems and Information Processing, ICCSIP 2016 - Beijing, China
Duration: 19 Nov 201623 Nov 2016

Publication series

NameCommunications in Computer and Information Science
Volume710
ISSN (Print)1865-0929

Conference

Conference3rd International Conference on Cognitive Systems and Information Processing, ICCSIP 2016
Country/TerritoryChina
CityBeijing
Period19/11/1623/11/16

Keywords

  • Automatic driving
  • Complex traffic environment
  • Intelligent driving
  • On-board camera

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