A new technique to extract road edges in the road-following algorithm for autonomous road vehicle navi-gation is described. It is based on finding road edges on a subsampled plan-view of a portion of the road ahead of the vehicle. The method is illustrated in the real-time identification of road edges using a fast vertical edge de-tector and link operator applied to the transformed plan view. Location of both road edges at 20 frames per sec-ond is demonstrated. Research on autonomous navigation of robot vehicles has been increasing in the last few years 1'2>3. Part of this research consists of identifying the road from a digitised image received by a camera positioned on the robot ve-hicle. The problem of identifying roads to drive ...
We present a mobile robot navigation system guided by a novel vision-based road recognition approach...
We present a mobile robot navigation system guided by a novel vision-based road recognition approach...
We present a mobile robot navigation system guided by a novel vision-based road recognition approach...
This paper reports the early results of an investigation conducted at the University of Bristol into...
This paper describes a real-time road following and road junction detection vision system for autono...
This paper presents a computer vision system for an autonomous road vehicle (ARV) that is capable of...
The problem discussed in this dissertation is the development of an efficient method for visual navi...
Urban driving has become the focus of autonomous robotics in recent years. Many groups seek to benef...
We present a monocular vision-based navigation system that incorporates two contrasting approaches: ...
We present a monocular vision-based navigation system that incorporates two contrasting approaches: ...
Terrestrial mobile laser scanning systems provide rapid and cost effective 3D point cloud data which...
Terrestrial mobile laser scanning systems provide rapid and cost effective 3D point cloud data which...
This paper presents a semi-automated method for extracting road segments from medium-resolution imag...
Research on road extraction from digital imagery is motivated by the need for data acquisition and u...
. This paper proposes an approach for automatic road extraction in aerial imagery which exploits the...
We present a mobile robot navigation system guided by a novel vision-based road recognition approach...
We present a mobile robot navigation system guided by a novel vision-based road recognition approach...
We present a mobile robot navigation system guided by a novel vision-based road recognition approach...
This paper reports the early results of an investigation conducted at the University of Bristol into...
This paper describes a real-time road following and road junction detection vision system for autono...
This paper presents a computer vision system for an autonomous road vehicle (ARV) that is capable of...
The problem discussed in this dissertation is the development of an efficient method for visual navi...
Urban driving has become the focus of autonomous robotics in recent years. Many groups seek to benef...
We present a monocular vision-based navigation system that incorporates two contrasting approaches: ...
We present a monocular vision-based navigation system that incorporates two contrasting approaches: ...
Terrestrial mobile laser scanning systems provide rapid and cost effective 3D point cloud data which...
Terrestrial mobile laser scanning systems provide rapid and cost effective 3D point cloud data which...
This paper presents a semi-automated method for extracting road segments from medium-resolution imag...
Research on road extraction from digital imagery is motivated by the need for data acquisition and u...
. This paper proposes an approach for automatic road extraction in aerial imagery which exploits the...
We present a mobile robot navigation system guided by a novel vision-based road recognition approach...
We present a mobile robot navigation system guided by a novel vision-based road recognition approach...
We present a mobile robot navigation system guided by a novel vision-based road recognition approach...