3D Scene Capture and Analysis for Intelligent Robotics-Reference-Cited by-同舟云学术

3D Scene Capture and Analysis for Intelligent Robotics

Published: Issue: Volume: Page:380-396
ISSN:
Container-title:Depth Map and 3D Imaging Applications
language:
Short-container-title:

Author:

Jarvis Ray¹

Affiliation:

1. Monash University, Australia

Abstract

The capability of robots to function effectively in the unstructured real world is dominated by the extent to which supporting sensory and computational resources can capture and analyse the 3D working environments within which they are to carry out their tasks. Many device technologies and computational algorithms have been developed over the last 30 years to enable such capabilities. This chapter chronicles a diverse range of such developments, comparing and contrasting them and indicating their various strengths and weaknesses to support intelligent robotic functionality in various domains of application.

Publisher

IGI Global

Reference27 articles.

1. 3D shape measurement by active triangulation using an array of coded light stripes. SPIE: Optics;B. F.Alexander;Illumination and Image Sensing for Machine Vision II,1987

2. Simultaneous localization and map building using natural features in outdoor environments.;H. F.Durrant-Whyte;Intelligent Autonomous Systems,2000

3. Ho, N., & Jarvis, R. A. (2007). Global localisation in real and cyber worlds using vision. Australasian Conference on Robotics and Automation 2007, 10th to 12th. Dec., Brisbane, Australia.

4. Ho, N., & Jarvis, R. A. (2008). Towards a platform independent real-time panoramic vision based localisation system. Australasian Conference on Robotics and Automation 08, (ACRA 08), 3rd to 5th Dec., Canberra, Australia.

5. Hoffman, I. D. (2000). Three dimensional scene analysis using multiple view range data. Ph.D. Thesis, Dept. of Electrical and Computer Systems Engineering, Monash University, Victoria, Australia.