Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Fangchang Ma"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200618
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d03efc6ec54612ec32f9ef8dd7ae3f7f
https://doi.org/10.1007/978-3-031-20062-5_5
https://doi.org/10.1007/978-3-031-20062-5_5
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200649
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7b8ae17a2ce4c59dd66c9a5b2eddf1d
https://doi.org/10.1007/978-3-031-20065-6_2
https://doi.org/10.1007/978-3-031-20065-6_2
Publikováno v:
arXiv
We consider the case in which a robot has to navigate in an unknown environment, but does not have enough on-board power or payload to carry a traditional depth sensor (e.g., a 3D lidar) and thus can only acquire a few (point-wise) depth measurements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b07d4a7118fac0450d410baa717bc4a3
https://hdl.handle.net/1721.1/125126
https://hdl.handle.net/1721.1/125126
Publikováno v:
ICRA
arXiv
arXiv
Depth sensing is a critical function for robotic tasks such as localization, mapping and obstacle detection. There has been a significant and growing interest in depth estimation from a single RGB image, due to the relatively low cost and size of mon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f4f5e3bd1e51b10c4dc78cf302bd8b7
Publikováno v:
arXiv
ICRA
ICRA
© 2019 IEEE. Depth completion, the technique of estimating a dense depth image from sparse depth measurements, has a variety of applications in robotics and autonomous driving. However, depth completion faces 3 main challenges: the irregularly space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3163bcf30d4ed4a26c83f79b9c0dc2a9
http://arxiv.org/abs/1807.00275
http://arxiv.org/abs/1807.00275
Publikováno v:
MIT Web Domain
IROS
IROS
We address the following question: is it possible to reconstruct the geometry of an unknown environment using sparse and incomplete depth measurements? This problem is relevant for a resource-constrained robot that has to navigate and map an environm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79ed0c9b62f146ab36ecfbe53a702509
https://orcid.org/0000-0003-1884-5397
https://orcid.org/0000-0003-1884-5397
Autor:
Fangchang Ma, Sertac Karaman
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783319165943
WAFR
WAFR
We consider the problem of computing the maximum-reward motion in a reward field in an online setting. We assume that the robot has a limited perception range, and it discovers the reward field on the fly. We analyze the performance of a simple, prac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17bcce08ba5b6f54593489acd349bb0c
https://doi.org/10.1007/978-3-319-16595-0_23
https://doi.org/10.1007/978-3-319-16595-0_23
Publikováno v:
ROBIO
In this paper, we present a novel real-time velocity estimation algorithm. A sensor assembly consisting of a monocular camera and an inertial measurement unit with three-axis accelerotmeter and gyroscope is considered. To improve the robustness of th