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Journal ArticleDOI

Range imaging for autonomous navigation of robotic land vehicles

P. W. Lux, +1 more
- 01 Mar 1991 - 
- Vol. 22, Iss: 3, pp 299-311
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TLDR
It is concluded that reliable obstacle detection—without identification—is possible with moderate computing requirements.
About
This article is published in Signal Processing.The article was published on 1991-03-01. It has received 17 citations till now. The article focuses on the topics: Machine vision & Terrain.

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Citations
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Journal ArticleDOI

Viewing corridors as right parallelepipeds for vision-based vehicle localization

TL;DR: A approach to vision-based vehicle localization by viewing corridors as a combination of right parallelepipeds is proposed, and acceptable vehicle localization results have been obtained, to prove the feasibility of the proposed approach.
Patent

System and methods for obstacle mapping and navigation

TL;DR: In this article, a system and methods for building a map non-invasively (i.e. mapping of occluded and non-occluded obstacles) based on a small number of wireless channel measurements are presented.
ReportDOI

Obstacle detection and mapping system

TL;DR: In this article, an obstacle detection algorithm developed to support obstacle detection and rough terrain conditions is presented, which is described as a hybrid of grid-based and sensor-based obstacle detection.
Journal ArticleDOI

Obstacle Classification and 3D Measurement in Unstructured Environments Based on ToF Cameras

TL;DR: An obstacle detection and classification method based on the use of Time-of-Flight cameras for robotic navigation in unstructured environments is presented and it is found that the new approach is more accurate and efficient.
References
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Proceedings Article

A scanning laser rangefinder for a robotic vehicle

TL;DR: A scanning Laser Rangefinder which operates in conjunction with a minicomputer as part of a robotic vehicle is described and includes both hardware and software.
Journal ArticleDOI

The ground surveillance robot (GSR): An autonomous vehicle designed to transit unknown terrain

S. Harmon
TL;DR: The experience from implementing this autonomous vehicle has indicated the need for an integrated set of debugging tools which make the faults in subsystem hardware and software more distinguishable.
Proceedings ArticleDOI

Distributed Scene Analysis For Autonomous Road Vehicle Guidance

TL;DR: An efficient distributed processing scheme has been developed for visual road boundary tracking by 'VaMoRs', a testbed vehicle for autonomous mobility and computer vision, and the system structure and the techniques applied for real-time scene analysis are presented along with experimental results.
Journal ArticleDOI

Efficient algorithms for obstacle detection using range data

TL;DR: The partial derivatives in spherical coordinates of range images are shown to yield rapid and robust results for obstacle detection, including iterative symmetric-nearest-neighbor smoothing and mixed-pixel minimization.