- Conference Paper
We present a method to reconstruct the 3D trajectory of an airborne robotic system only from videos recorded with cameras that are unsynchronized, may feature rolling shutter distortion, and whose viewpoints are unknown. Our approach enables robust and accurate outside-in tracking of dynamically flying targets, with cheap and easy-to-deploy equipment. We show that, in spite of the weakly constrained setting, recent developments in computer vision make it possible to reconstruct trajectories in 3D from unsynchronized, uncalibrated networks of consumer cameras, and validate the proposed method in a realistic field experiment. We make our code available along with the data, including cm-accurate groundtruth from differential GNSS navigation. Show more
Book title2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Pages / Article No.
Organisational unit03886 - Schindler, Konrad / Schindler, Konrad
NotesConference held on October 26, 2020. Due to the Coronavirus (COVID-19) the conference was conducted virtually.
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