Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dhiraj Goel"'
Publikováno v:
ROSCon Macau 2019.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::725b2d7d2e56a940223306a2618e0287
https://doi.org/10.36288/roscon2019-900899
https://doi.org/10.36288/roscon2019-900899
Publikováno v:
Robotics and Autonomous Systems. 62:1248-1258
Vector field SLAM is a framework for localizing a mobile robot in an unknown environment by learning the spatial distribution of continuous signals such as those emitted by WiFi or active beacons. In our previous work we showed that this approach is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fdfa440de80a8b65675447a371e63c3
https://doi.org/10.1016/j.robot.2014.03.021
https://doi.org/10.1016/j.robot.2014.03.021
Autor:
Mario E. Munich, James Philip Case, Dhiraj Goel, Michael J. Dooley, Daniele Tamino, Paolo Pirjanian, Jens-Steffen Gutmann
Publikováno v:
IROS
We address the problem of systematically covering all accessible floor space in an unknown environment by a mobile robot. Our approach uses rectangular regions that are swept across the environment. In the first stage, the robot covers each region us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1bfc3fa7a6c264a8d3674ae70bdcfb4
https://doi.org/10.1109/iros.2013.6696324
https://doi.org/10.1109/iros.2013.6696324
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783642339318
IAS (2)
IAS (2)
Vector Field SLAM is a method for localizing a mobile robot in an unknown environment from continuous signals such as WiFi or active beacons. Disclosed is a technique for localizing a robot in relatively large and/or disparate areas. This is achieved
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70abf5041bc50a7ccf11b393e0fffaca
https://doi.org/10.1007/978-3-642-33932-5_9
https://doi.org/10.1007/978-3-642-33932-5_9
Autor:
Tsuhan Chen, Dhiraj Goel
Publikováno v:
Computer Vision – ACCV 2007 ISBN: 9783540763857
ACCV (1)
ACCV (1)
We propose a novel learning strategy called Global-Local Motion Pattern Classification (GLMPC) to localize pedestrian-like motion patterns in videos. Instead of modeling such patterns as a single class that alone can lead to high intra-class variabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec30e833e0107966f518779e32e37eae
https://doi.org/10.1007/978-3-540-76386-4_20
https://doi.org/10.1007/978-3-540-76386-4_20
Autor:
Tsuhan Chen, Dhiraj Goel
Publikováno v:
ICIP (3)
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e., the eigenvectors derived from applying principal component analysis to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4f678f29c4f5bd24f0fedd75b03682d
https://doi.org/10.1109/icip.2007.4379288
https://doi.org/10.1109/icip.2007.4379288
In this paper we present CMUcam3, a low-cost, open source, embedded computer vision platform. The CMUcam3 is the third generation of the CMUcam system and is designed to provide a flexible and easy to use open source development environment along wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48a9533b09959563b9474f2df1c29d9e