{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/vision-based-control-of-a-quadrotor-in-user","title":"Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches","arxiv_id":"1809.08881","date":"2018-09-24","proceeding":null,"authors":["Dario Mantegazza","Jérôme Guzzi","Luca M. Gambardella","Alessandro Giusti"],"abstract":"We consider the task of controlling a quadrotor to hover in front of a freely\nmoving user, using input data from an onboard camera. On this specific task we\ncompare two widespread learning paradigms: a mediated approach, which learns an\nhigh-level state from the input and then uses it for deriving control signals;\nand an end-to-end approach, which skips high-level state estimation altogether.\nWe show that despite their fundamental difference, both approaches yield\nequivalent performance on this task. We finally qualitatively analyze the\nbehavior of a quadrotor implementing such approaches.","url_abs":"http://arxiv.org/abs/1809.08881v2","url_pdf":"http://arxiv.org/pdf/1809.08881v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"vision-based-control-of-a-quadrotor-in-user","repo_url":"https://github.com/idsia-robotics/proximity-quadrotor-learning","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"3d-human-pose-estimation","task_name":"3D Human Pose Estimation"},{"task_slug":"state-estimation","task_name":"State Estimation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}