Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Conrad Spiteri"'
Publikováno v:
Sensors, Vol 16, Iss 11, p 1952 (2016)
In recent decades, terrain modelling and reconstruction techniques have increased research interest in precise short and long distance autonomous navigation, localisation and mapping within field robotics. One of the most challenging applications is
Externí odkaz:
https://doaj.org/article/7987fdf563f54a7192f5413def65dd17
Publikováno v:
Robotics and Autonomous Systems. 72:307-317
Identifying wheel sinkage for planetary exploration rovers can give a critical insight about the terrain traversability and in particular the characteristics of deformable soils that the rover travels on. This paper presents a monocular vision based
Publikováno v:
Robotics and Autonomous Systems. 62:151-167
Direct terrain classification from monocular images for autonomous navigation of planetary rovers is a relatively new and challenging research area, not only because of the hardware limitation of a rover, but also because the rocks and obstacles to b
This paper proposes a novel object detection method based on the visual saliency model in order to reliably detect objects such as rocks from single monocular planetary images. The algorithm takes advantage of the relatively homogeneous and distinct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::132fddd80050998f83f6db4bec8aaf20
https://surrey.eprints-hosting.org/812947/
https://surrey.eprints-hosting.org/812947/
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 16; Issue 11; Pages: 1952
Sensors, Vol 16, Iss 11, p 1952 (2016)
Sensors; Volume 16; Issue 11; Pages: 1952
Sensors, Vol 16, Iss 11, p 1952 (2016)
In recent decades, terrain modelling and reconstruction techniques have increased research interest in precise short and long distance autonomous navigation, localisation and mapping within field robotics. One of the most challenging applications is
Publikováno v:
IROS
Identification of the wheel sinkage of exploration rovers provides valuable insight into the characteristics of deformable soils and thus the ease of traversal is also identified. In this paper we propose a simple vision based approach that robustly