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Collaborating Low Cost Micro Aerial Vehicles: A Demonstration

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Towards Autonomous Robotic Systems (TAROS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9287))

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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.

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Correspondence to Richard Williams .

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Williams, R., Konev, B., Coenen, F. (2015). Collaborating Low Cost Micro Aerial Vehicles: A Demonstration. In: Dixon, C., Tuyls, K. (eds) Towards Autonomous Robotic Systems. TAROS 2015. Lecture Notes in Computer Science(), vol 9287. Springer, Cham. https://doi.org/10.1007/978-3-319-22416-9_33

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  • DOI: https://doi.org/10.1007/978-3-319-22416-9_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22415-2

  • Online ISBN: 978-3-319-22416-9

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