Journal article
An optical navigation sensor for micro aerial vehicles
Computer vision and image understanding, v 105(1)
2007
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper describes a catadioptric microsensor for multidirectional imaging and 3D egomotion computation. Inspired by the wide viewing angle of insects’ compound eyes, we show how to extract egomotion information from spherical images. We demonstrate how reflective surfaces can be used for building a compact, multidirectional eye that enables to collect video from 60% of the full sphere. Some experiments performed on synthetic images (using a ray-tracing environment) are presented to validate the concept. We have called the resulting imaging system SICONS (SIngle Chip Optical Navigation Sensor). SICONS is intended for application in micro unmanned aerial vehicles (micro-UAVs) to develop their perceptive, visual guidance and motive abilities to move within the real world in the same way an insect does.
Metrics
Details
- Title
- An optical navigation sensor for micro aerial vehicles
- Creators
- Christel-Loic Tisse - The University of SydneyHugh Durrant-Whyte - The University of SydneyR. Andrew Hicks - Drexel University
- Publication Details
- Computer vision and image understanding, v 105(1)
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mathematics
- Web of Science ID
- WOS:000243460900002
- Scopus ID
- 2-s2.0-33845789747
- Other Identifier
- 991019319088704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic