Zobrazeno 1 - 10
of 12
pro vyhledávání: '"James Andrew Bagnell"'
Publikováno v:
Robotics: Science and Systems
Based on the convex force-motion polynomial model for quasi-static sliding, we derive the kinematic contact model to determine the contact modes and instantaneous object motion on a supporting surface given a position controlled manipulator. The inhe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa07f4e1c2278c7206d76838267fc700
Publikováno v:
IEEE Transactions on Information Theory. 59:1966-1980
The principle of maximum entropy provides a powerful framework for estimating joint, conditional, and marginal probability distributions. However, there are many important distributions with elements of interaction and feedback where its applicabilit
Publikováno v:
IEEE Robotics & Automation Magazine. 17:74-84
Autonomous navigation by a mobile robot through L natural, unstructured terrain is one of the premier k challenges in field robotics. Tremendous advances V in autonomous navigation have been made recently in field robotics. Machine learning has playe
Publikováno v:
Computer Vision – ECCV 2014 ISBN: 9783319106045
ECCV (2)
ECCV (2)
State-of-the-art approaches for articulated human pose estimation are rooted in parts-based graphical models. These models are often restricted to tree-structured representations and simple parametric potentials in order to enable tractable inference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2706ee69a128ada55638e8bde911c78d
Publikováno v:
Computer Vision – ECCV 2012 ISBN: 9783642337826
ECCV (6)
ECCV (6)
We address the problem of understanding scenes from multiple sources of sensor data (e.g., a camera and a laser scanner) in the case where there is no one-to-one correspondence across modalities (e.g., pixels and 3-D points). This is an important sce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf34319d352605a6ac5372dde5b3d201
Publikováno v:
Computer Vision – ECCV 2012. Workshops and Demonstrations ISBN: 9783642338847
ECCV Workshops (3)
ECCV Workshops (3)
Generating meaningful digests of videos by extracting interesting frames remains a difficult task. In this paper, we define interesting events as unusual events which occur rarely in the entire video and we propose a novel interesting event summariza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::695970e413250ba4407727f5f9254ed0
Publikováno v:
Computer Vision – ECCV 2012 ISBN: 9783642337642
We address the task of inferring the future actions of people from noisy visual input. We denote this task activity forecasting. To achieve accurate activity forecasting, our approach models the effect of the physical environment on the choice of hum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::427189fc9699bc945f34f9af481a8382
https://doi.org/10.1007/978-3-642-33765-9_15
https://doi.org/10.1007/978-3-642-33765-9_15
Publikováno v:
Robotics: Science and Systems
Accurate terrain estimation is critical for autonomous offroad navigation. Reconstruction of a 3D surface allows rough and hilly ground to be represented, yielding faster driving and better planning and control. However, data from a 3D sensor samples
Publikováno v:
ICRA
The widespread success of sampling-based planning algorithms stems from their ability to rapidly discover the connectivity of a configuration space. Past research has found that non-uniform sampling in the configuration space can significantly outper
Publikováno v:
ICRA
A key challenge for autonomous navigation in cluttered outdoor environments is the reliable discrimination between obstacles that must be avoided at all costs, and lesser obstacles which the robot can drive over if necessary. Chlorophyll-rich vegetat