Development of a hemispherical compound Eye for egomotion estimation

Maddern, William & Wyeth, Gordon (2008) Development of a hemispherical compound Eye for egomotion estimation. In Kim, Jonghyuk & Mahony, Robert (Eds.) Proceedings of Australasian Conference on Robotics and Automation 2008, Australian Robotics and Automation Association Inc, Canberra.

View at publisher


Biological inspiration has produced some successful solutions for estimation of self motion from visual information. In this paper we present the construction of a unique new camera, inspired by the compound eye of insects. The hemispherical nature of the compound eye has some intrinsically valuable properties in producing optical flow fields that are suitable for egomotion estimation in six degrees of freedom. The camera that we present has the added advantage of being lightweight and low cost, making it suitable for a range of mobile robot applications. We present some initial results that show the effectiveness of our egomotion estimation algorithm and the image capture capability of the hemispherical camera.

Impact and interest:

9 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

106 since deposited on 24 Jun 2010
2 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 32851
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
ISBN: 9780646506432
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Copyright Owner: Copyright 2008 [please consult the authors]
Deposited On: 24 Jun 2010 03:03
Last Modified: 24 Jun 2010 03:03

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page