Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ayush Gaud"'
Instance invariant visual servoing framework for part-aware autonomous vehicle inspection using MAVs
Publikováno v:
Journal of Field Robotics. 36:892-918
Publikováno v:
ICRA
Existing deep learning based visual servoing approaches regress the relative camera pose between a pair of images. Therefore, they require a huge amount of training data and sometimes fine-tuning for adaptation to a novel scene. Furthermore, current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b23cc36be6061fa213e40ade3135d98f
Publikováno v:
IROS
Objects in space often exhibit a tumbling motion around the major inertial axis. In this paper, we address the image based visual servoing of a robotic system towards an uncooperative tumbling object. In contrast to previous approaches that require e
Publikováno v:
IROS
Present visual servoing approaches are instance specific i.e. they control camera motion between two views of the same object. However, in practical scenarios where a robot is required to handle various instances of a category, classical visual servo
Publikováno v:
ICRA
Present image based visual servoing approaches rely on extracting hand crafted visual features from an image. Choosing the right set of features is important as it directly affects the performance of any approach. Motivated by recent breakthroughs in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23f785c3ff1ad145aa560c4b21915826
http://arxiv.org/abs/1706.03220
http://arxiv.org/abs/1706.03220