Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Dushyant Rao"'
Publikováno v:
Trends in cognitive sciences. 24(12)
Artificial intelligence research has seen enormous progress over the past few decades, but it predominantly relies on fixed datasets and stationary environments. Continual learning is an increasingly relevant area of study that asks how artificial sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69a11846e21c0dd354020727b672927d
https://pubmed.ncbi.nlm.nih.gov/33158755
https://pubmed.ncbi.nlm.nih.gov/33158755
Publikováno v:
The International Journal of Robotics Research. 37:981-995
Despite significant advances in machine learning and perception over the past few decades, perception algorithms can still be unreliable when deployed in challenging time-varying environments. When these systems are used for autonomous decision-makin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7afce75455287b786d4c5e553c7711bf
https://doi.org/10.1177/0278364917730603
https://doi.org/10.1177/0278364917730603
Publikováno v:
The International Journal of Robotics Research. 37:492-512
This paper presents a novel approach for tracking static and dynamic objects for an autonomous vehicle operating in complex urban environments. Whereas traditional approaches for tracking often feature numerous hand-engineered stages, this method is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30416692bde6401add4bff89f9a7362f
https://doi.org/10.1177/0278364917710543
https://doi.org/10.1177/0278364917710543
Publikováno v:
The International Journal of Robotics Research
Autonomous vehicles are often tasked to explore unseen environments, aiming to acquire and understand large amounts of visual image data and other sensory information. In such scenarios, remote sensing data may be available a priori, and can help to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e39dbf393d7584eabc20991397119792
https://doi.org/10.1177/0278364916679892
https://doi.org/10.1177/0278364916679892
Autor:
Akshay A. Morye, Marta Kwiatkowska, Dushyant Rao, Morteza Lahijanian, Paul Newman, Brian Yeomans, Maria Svorenova, Ingmar Posner, Hadas Kress-Gazit
Publikováno v:
IEEE Robotics and Automation Letters. 3(3)
The design of mobile autonomous robots is challenging due to the limited on-board resources such as processing power and energy. A promising approach is to generate intelligent schedules that reduce the resource consumption while maintaining best per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e2b67d79108bad275d84e7912f3457e
http://ora.ox.ac.uk/objects/uuid:
http://ora.ox.ac.uk/objects/uuid:
We present an approach for learning spatial traversability maps for driving in complex, urban environments based on an extensive dataset demonstrating the driving behaviour of human experts. The direct end-to-end mapping from raw input data to cost b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84075451f02c22949866f62406d5b663
https://ora.ox.ac.uk/objects/uuid:993107a9-8c40-4d12-a71d-087596e704d7
https://ora.ox.ac.uk/objects/uuid:993107a9-8c40-4d12-a71d-087596e704d7
Publikováno v:
ICRA
Autonomous underwater vehicles (AUVs) are widely used to perform information gathering missions in unseen environments. Given the sheer size of the ocean environment, and the time and energy constraints of an AUV, it is important to consider the pote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c30382b23bb3c122ae4eee44c93a1eb
https://doi.org/10.1109/icra.2016.7487618
https://doi.org/10.1109/icra.2016.7487618
Publikováno v:
ICRA
This paper proposes a computationally efficient approach to detecting objects natively in 3D point clouds using convolutional neural networks (CNNs). In particular, this is achieved by leveraging a feature-centric voting scheme to implement novel con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5e5ea8b00fc5b2ab5a55543d6572f19
Autor:
Oscar Pizarro, Navid Nourani-Vatani, Dushyant Rao, Stefan B. Williams, Michael Bewley, Bertrand Douillard
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783319074870
FSR
FSR
In recent years, Autonomous Underwater Vehicles (AUVs) have been used extensively to gather imagery and other environmental data for ocean monitoring. Processing of this vast amount of collected imagery to label content is difficult, expensive and ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca944d932d9836e53a5d1140363fe14c
https://doi.org/10.1007/978-3-319-07488-7_1
https://doi.org/10.1007/978-3-319-07488-7_1