RGB-D Camera Based Collision Prediction and Avoidance for X-ray Rotational Angiography

Abstract

DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

Collision Avoidance Route Planning for Autonomous Medical Devices Using Multiple Depth Cameras

“…An example of the previously described points is the GU60A fully automated X-ray U-arm developed by Samsung, which uses multiple sensors for automatic positioning and collision avoidance [11]. Other examples include camera-based collision avoidance systems for C-arm X-ray machines [12], [13] or patents proposing collision avoidance systems (e.g., floor-mounted) for radiography using soft limits, transducers, and proximity sensors [14], [15].…”