Adaptive cruise control employing taillight tracking for a platoon of autonomous vehicles

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

International Journal of Advanced Trends in Computer Science and Engineering

Volume

8

Issue

3

First Page

640

Last Page

645

Publication Date

5-1-2019

Abstract

Traffic congestions in urban cities unwantedly form platoons of vehicles running at low speeds. For vehicles operated by human drivers, reaction to speeding up or down requires some time, thus, increasing travel time. In this study, we present an adaptive cruise control for a group of autonomous vehicles that follow each other. We propose a taillight tracking system by utilizing low-cost dashboard cameras for detecting the position of the lead vehicle and then allow autonomous vehicles to correctly accelerate or decelerate depending on the nature of traffic. This is achieved by detecting the leading vehicle’s taillight via linear AND-ing of the the RGB and HSV color model representations. We evaluate the proposed system by employing real captured traffic images and tested by utilizing mobile robots for the platoon of vehicles testing. © 2019, World Academy of Research in Science and Engineering. All rights reserved.

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Digitial Object Identifier (DOI)

10.30534/ijatcse/2019/48832019

Keywords

Automated vehicles; Traffic congestion

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