Algorithms 2008, 1(2), 153-182; doi:10.3390/a1020153
Review

Autonomous Vehicles Navigation with Visual Target Tracking: Technical Approaches

1 United Technologies Research Center, No. 3239, Shenjiang Road, Shanghai 201206, P.R. China 2 Department of Mechanical Engineering, Massachusetts Institute of Technology, MA, USA 3 Faculty of Engineering, University of Technology, Sydney, NSW, Australia
* Author to whom correspondence should be addressed.
Received: 31 August 2008; in revised form: 22 November 2008 / Accepted: 28 November 2008 / Published: 15 December 2008
(This article belongs to the Special Issue Sensor Algorithms)
PDF Full-text Download PDF Full-Text [1113 KB, uploaded 15 December 2008 12:26 CET]
Abstract: This paper surveys the developments of last 10 years in the area of vision based target tracking for autonomous vehicles navigation. First, the motivations and applications of using vision based target tracking for autonomous vehicles navigation are presented in the introduction section. It can be concluded that it is very necessary to develop robust visual target tracking based navigation algorithms for the broad applications of autonomous vehicles. Then this paper reviews the recent techniques in three different categories: vision based target tracking for the applications of land, underwater and aerial vehicles navigation. Next, the increasing trends of using data fusion for visual target tracking based autonomous vehicles navigation are discussed. Through data fusion the tracking performance is improved and becomes more robust. Based on the review, the remaining research challenges are summarized and future research directions are investigated.
Keywords: Computer Vision; Autonomous Vehicles; Mobile Robots; Target Tracking; Navigation; Sensor Data Fusion

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Jia, Z.; Balasuriya, A.; Challa, S. Autonomous Vehicles Navigation with Visual Target Tracking: Technical Approaches. Algorithms 2008, 1, 153-182.

AMA Style

Jia Z, Balasuriya A, Challa S. Autonomous Vehicles Navigation with Visual Target Tracking: Technical Approaches. Algorithms. 2008; 1(2):153-182.

Chicago/Turabian Style

Jia, Zhen; Balasuriya, Arjuna; Challa, Subhash. 2008. "Autonomous Vehicles Navigation with Visual Target Tracking: Technical Approaches." Algorithms 1, no. 2: 153-182.

Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert