Driving space detection for structured outdoor environment using monocular vision

Author

Hussain, Shiraz ; Ahmed Khan, Kunwar Faraz ; Malik, Showkat Hassan ; Mehmood, N.

Author_Institution

Dept. of Mechatron. Eng., NUST, Rawalpindi, Pakistan

fYear

2014

fDate

22-24 April 2014

Firstpage

64

Lastpage

67

Abstract

Driving space detection is one of the basic steps for autonomous guidance of vehicles. In this paper a real time road segmentation algorithm is proposed for identifying driving space. The presented algorithm uses the concept of appearance based object detection (ABOD) to detect traversable area for vehicles. The input image is partitioned as road and off road and each individual pixel is classified as either traversable or non traversable. It uses Mean Shift Algorithm for road segmentation and then uses ABOD on segmented image to separate road and off road areas.

Keywords

computer vision; image classification; image segmentation; object detection; road traffic; traffic engineering computing; ABOD concept; appearance based object detection concept; autonomous vehicle guidance; driving space detection; driving space identification; image segmentation; mean shift algorithm; monocular vision; pixel classification; road segmentation algorithm; structured outdoor environment; Image edge detection; Image segmentation; Kernel; Navigation; Roads; Vectors; Vehicles; Driving Space; Mean Shift; Monocular Vision; Segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Emerging Allied Technologies in Engineering (iCREATE), 2014 International Conference on

Conference_Location

Islamabad

Print_ISBN

978-1-4799-5131-4

Type

conf

DOI

10.1109/iCREATE.2014.6828340

Filename

6828340