A real-time perception system for autonomous cars targeting highways

  • S. Al Dhahri
  • , S. Al Sieairi
  • , H. Almarashda
  • , M. Meribout

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

1 Scopus citations

Abstract

In this paper, a real-time perception system for autonomous car is presented. It is based on a highly parallel architecture using state of the art Field Programmable Gate Array (FPGA) to perform both low and intermediary levels image processing tasks at video frame rate (i.e. 30 frames / s). The hardware algorithm consists to perform noise removal and edge detection, followed by Hough transform task to extract the segments corresponding the lanes boundaries. The rich hardware resources which are available in nowadays FPGAs (e.g. large built-in distributed RAM memories, DSP blocks, and reconfigurable PLLs) yielded for a compact and low power consumption real-time vision system. Series of tests on different roads within Abu Dhabi city were successfully conducted for different scenarios such as continues lines, discontinues lines and slightly curved lines for which the car speed reached up to 122 km/h.

Original languageBritish English
Title of host publicationApplications of Digital Image Processing XLI
EditorsAndrew G. Tescher
PublisherSPIE
ISBN (Print)9781510620759
DOIs
StatePublished - 2018
EventApplications of Digital Image Processing XLI 2018 - San Diego, United States
Duration: 20 Aug 201823 Aug 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10752
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceApplications of Digital Image Processing XLI 2018
Country/TerritoryUnited States
CitySan Diego
Period20/08/1823/08/18

Keywords

  • Autonomous car
  • LIDAR system
  • machine vision
  • real-time image processing
  • real-time lane detection

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