Share Email Print
cover

Proceedings Paper • new

A real-time perception system for autonomous cars targeting highways
Author(s): S. Al Dhahri; S. Al Sieairi; H. AlMarashda; M. Meribout
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 17 September 2018
PDF: 10 pages
Proc. SPIE 10752, Applications of Digital Image Processing XLI, 107521B (17 September 2018); doi: 10.1117/12.2326775
Show Author Affiliations
S. Al Dhahri, Khalifa Univ. of Science, and Technology (United Arab Emirates)
S. Al Sieairi, Khalifa Univ. of Science, and Technology (United Arab Emirates)
H. AlMarashda, Khalifa Univ. of Science, and Technology (United Arab Emirates)
M. Meribout, Khalifa Univ. of Science, and Technology (United Arab Emirates)


Published in SPIE Proceedings Vol. 10752:
Applications of Digital Image Processing XLI
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top