Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jeevith Hegde"'
Publikováno v:
Journal of Loss Prevention in the Process Industries. 60:145-158
This article presents the process used to develop safety envelopes and subsea traffic rules for autonomous remotely operated vehicles (AROVs) used in subsea inspection, maintenance, and repair (IMR) operations. Preventing loss of subsea assets and th
Publikováno v:
Proceedings of the 29th European Safety and Reliability Conference (ESREL).
Publikováno v:
Reliability Engineering & System Safety. 198:106804
The advent of autonomous cars, drones, and ships, the complexity of these systems is increasing, challenging risk analysis and risk mitigation, since the incorporation of software failures intro traditional risk analysis currently is difficult. Curre
Publikováno v:
Reliability Engineering & System Safety. 197:106803
Advanced technological systems consist of a combination of hardware and software, and they are often operated or supervised by a human operator. Failures in software-intensive systems may be difficult to identify, analyze, and mitigate, owing to syst
Publikováno v:
Aquacultural Engineering. 89:102039
This article presents a novel 2.5D map representation, termed polar map, that has a memory consumption of O(ML), where M and L depend on the map's angular and depth resolution, respectively. The map has a computational effort of O(1) in the update an
Autor:
Børge Rokseth, Jeevith Hegde
Publikováno v:
Safety Science
The purpose of this article is to present a structured review of publications utilizing machine learning methods to aid in engineering risk assessment. A keyword search is performed to retrieve relevant articles from the databases of Scopus and Engin
Publikováno v:
Safety and Reliability – Safe Societies in a Changing World ISBN: 9781351174664
Scopus-Elsevier
Scopus-Elsevier
This paper describes the implementation of dynamic safety envelopes for Autonomous Remotely Operated Vehicles (AROVs). A safety envelope is defined as a three-dimensional spatial area around the AROV, which forms a virtual protective barrier against
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::128ad78eaf8a44946e3b6411dc098615
https://hdl.handle.net/11250/2579625
https://hdl.handle.net/11250/2579625
The introduction of autonomy in subsea operations may affect operational risk related to Inspection, Maintenance, and Repair (IMR). This article proposes a Bayesian Belief Network (BBN) to model the risk affecting autonomous subsea IMR operations. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dcc05917440f045cf6832db060ecdcc
http://hdl.handle.net/11250/2499001
http://hdl.handle.net/11250/2499001
Publikováno v:
OCEANS 2016 MTS/IEEE Monterey.
This paper proposes a rapid path-planning and replanning system for Unmanned Underwater Vehicles (UUVs) that navigate in environments where subsea structures and other vehicles may be present. The proposed method is based on the Voronoi diagram, whic
Publikováno v:
Journal of Loss Prevention in the Process Industries
The objective of this article is to present a method for developing collision risk indicators applicable for autonomous remotely operated vehicles (AROVs), which are essential for promoting situation awareness in decisions support systems. Three suit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90f6359ce377f324d068dbcb5d97cbc1
https://hdl.handle.net/11250/2464655
https://hdl.handle.net/11250/2464655