Lane detection and spatiotemporal reconstruction using the macroblock predictions method

College

Gokongwei College of Engineering

Department/Unit

Mechanical Engineering

Document Type

Article

Source Title

Journal of Advanced Computational Intelligence and Intelligent Informatics

Volume

22

Issue

5

First Page

660

Last Page

665

Publication Date

9-1-2018

Abstract

Detection and tracking of road lane markings offers several applications in intelligent transport systems (ITS). Although it is perceived as the simple task of isolating lanes on various types of roads, the accuracy of detection remains an issue. Several studies in recent literature have proposed solutions to this problem; however, none of these have used the method of macroblock (MB) prediction. This paper focuses on the type of MB applied for lane detection, tracking, and predictions, as well as the trade-off between the accuracy and complexity of implementing the system. This study makes the following contributions: (1) best MB for spatiotemporal lane detection and reconstruction; (2) best function approximation for lane predictions; and (3) best MB in terms of performance under different conditions. © 2018 Fuji Technology Press.All Rights Reserved.

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Digitial Object Identifier (DOI)

10.20965/jaciii.2018.p0660

Disciplines

Mechanical Engineering

Keywords

Intelligent transportation systems; Computer vision; Lane lines (Roads); Automatic tracking

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