Abstract
| Original language | English |
|---|---|
| Title of host publication | Australasian Conference on Robotics and Automation, ACRA 2015 |
| Subtitle of host publication | 2-4 December 2015; Canberra, Australia |
| Editors | Robert Mahony, Jonghyuk Kim, Hongdong Li |
| Place of Publication | Canberra ACT Australia |
| Publisher | Australian Robotics & Automation Association Inc |
| Pages | 379-387 |
| Number of pages | 9 |
| ISBN (Electronic) | 9780980740462 |
| ISBN (Print) | 9781510819269 |
| Publication status | Published - 2015 |
| Event | Australasian Conference on Robotics and Automation 2015 - Australian National University (ANU), Canberra, Australia Duration: 2 Dec 2015 → 4 Dec 2015 http://www.araa.asn.au/conferences/acra-2015/ |
Conference
| Conference | Australasian Conference on Robotics and Automation 2015 |
|---|---|
| Abbreviated title | ACRA 2015 |
| Country | Australia |
| City | Canberra |
| Period | 2/12/15 → 4/12/15 |
| Internet address |
Cite this
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Distributed robotic vision as a service. / Chamberlain, William; Drummond, Thomas William; Corke, Peter Ian.
Australasian Conference on Robotics and Automation, ACRA 2015: 2-4 December 2015; Canberra, Australia. ed. / Robert Mahony; Jonghyuk Kim; Hongdong Li. Canberra ACT Australia : Australian Robotics & Automation Association Inc, 2015. p. 379-387.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - Distributed robotic vision as a service
AU - Chamberlain, William
AU - Drummond, Thomas William
AU - Corke, Peter Ian
PY - 2015
Y1 - 2015
N2 - The vision sense of standalone robots is limited by line of sight and onboard camera capabilities, but processing video from remote cameras puts a high computational burden on robots. This paper describes the Distributed Robotic Vision Service, DRVS, which implements an on-demand distributed visual object detection service. Robots specify visual information requirements in terms of regions of interest and object detection algorithms. DRVS dynamically distributes the object detection computation to remote vision systems with processing capabilities, and the robots receive high-level object detection information. DRVS relieves robots of managing sensor discovery and reduces data transmission compared to image sharing models of distributed vision. Navigating a sensorless robot from remote vision systems is demonstrated in simulation as a proof of concept.
AB - The vision sense of standalone robots is limited by line of sight and onboard camera capabilities, but processing video from remote cameras puts a high computational burden on robots. This paper describes the Distributed Robotic Vision Service, DRVS, which implements an on-demand distributed visual object detection service. Robots specify visual information requirements in terms of regions of interest and object detection algorithms. DRVS dynamically distributes the object detection computation to remote vision systems with processing capabilities, and the robots receive high-level object detection information. DRVS relieves robots of managing sensor discovery and reduces data transmission compared to image sharing models of distributed vision. Navigating a sensorless robot from remote vision systems is demonstrated in simulation as a proof of concept.
UR - http://www.scopus.com/inward/record.url?scp=85023777484&partnerID=8YFLogxK
UR - http://www.araa.asn.au/acra/acra2015/papers/pap151.pdf
M3 - Conference Paper
SN - 9781510819269
SP - 379
EP - 387
BT - Australasian Conference on Robotics and Automation, ACRA 2015
A2 - Mahony, Robert
A2 - Kim, Jonghyuk
A2 - Li, Hongdong
PB - Australian Robotics & Automation Association Inc
CY - Canberra ACT Australia
ER -