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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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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