(2015)
Collaborating Low Cost Micro Aerial Vehicles: A Demonstration.
Towards Autonomous Robotic Systems - 16th Annual Conference, 9287.
pp. 296-302.
ISSN 0302-9743
Text
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Abstract
In this paper we demonstrate our Distributed Collaborative Tracking and Mapping (DCTAM) system for collaborative localisation and mapping with teams of Micro-Aerial Vehicle's MAVs. DCTAM uses a distributed architecture which allows us to run both image capture and frame-to-frame tracking on-board the MAV while offloading the more computationally demanding tasks of map creation/refinement to an off-board computer. The low computational cost of the localisation components of our system allow us to run additional software on-board such as an Extended Kalman Filter (EKF) for full state estimation and a PID-based Position Controller. This allows us to demonstrate complete cooperative autonomous operation.
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Depositing User: | Symplectic Admin |
Date Deposited: | 31 Mar 2016 10:03 |
Last Modified: | 31 Oct 2018 10:16 |
DOI: | 10.1007/978-3-319-22416-9_33 |
URI: | http://livrepository.liverpool.ac.uk/id/eprint/2022441 |