Autonomous Aerial Ice Observation for Ice Defense

Haugen, Joakim; Imsland, Lars

doi:10.4173/mic.2014.4.5

Cited by 9 publications

(11 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Results towards iceberg surveillance, including experiments, can be found in Imsland, 2013a,b, 2014c), while approaches towards surveillance of ice drift can be found in (Haugen et al, 2012;Haugen and Imsland, 2014b). These forms the basis for Joakim Haugen's PhD thesis (Haugen, 2014), which is in part summarized in Haugen and Imsland (2014a). The experiments related to iceberg monitoring were performed on Eggemoen Aviation and Technology Park with the skillfull help of Maritime Robotics.…”

Section: Aerial Ice Monitoring By Dronesmentioning

confidence: 99%

The Arctic DP Research Project: Effective Stationkeeping in Ice

Skjetne¹,

Imsland²,

Løset³

2014

MIC

Self Cite

View full text Add to dashboard Cite

Stress on the environment from a potentially growing energy use is set to rise. Without doubt the energy resources in Arctic regions will be developed. An important goal will be to exploit the resources offered by for instance the Barents Sea as a new European energy province, and to do this in accordance with the principles of sustainable development that have successfully been used e.g. in the North Sea.The special edition of MIC on Arctic DP presents a set of articles that summarize to an extent the activities of the research project "Arctic DP: Safe and green dynamic positioning operations of offshore vessels in an Arctic environment". This project was awarded in 2010 by the Research Council of Norway (RCN) as a competence-building project (KMB project) to NTNU and its partners Kongsberg Maritime, DNV GL, and Statoil. The objective was to target some of the challenges related to safe Arctic offshore operations by dynamic positioning. In this first article of the Arctic DP special edition we discuss the background for and establishment of the project, its planning and execution, and project closure. An overview is given for the scientific and engineering research performed in the project, with an account of what we have considered as Effective stationkeeping in ice by dynamic positioning. The corresponding research activities conducted under this main theme is summarized.

show abstract

Section: Aerial Ice Monitoring By Dronesmentioning

confidence: 99%

The Arctic DP Research Project: Effective Stationkeeping in Ice

Skjetne¹,

Imsland²,

Løset³

2014

MIC

Self Cite

View full text Add to dashboard Cite

show abstract

“…Inter-Module Communication Protocol (IMC 5 ) is then used for the messages between MATLAB and DUNE using the IMC Java library.…”

Section: Ardupilotmentioning

confidence: 99%

“…This information can be used in collision avoidance systems [3], where the vessel will find a new path based on the obstacles' positions; military operations [4], where the threats or targets can be identified earlier; ice management [5], to map the features of ice or icebergs drifting into the path of the vessel; and search and rescue [6], where the vessel needs to find missing crew.…”

Section: Introductionmentioning

confidence: 99%

Autonomous UAV surveillance of a ship's path with MPC for maritime situational awareness

Andrade

Storvold

Johansen

2017

2017 International Conference on Unmanned Aircraft Systems (ICUAS)

View full text Add to dashboard Cite

Abstract-Maritime Situational Awareness is crucial in maritime operations to identify threats and to deal with them as soon as possible. These threats can be pirates in shipping operations, icebergs when sailing in the northern sea routes, or even unknown vessels or objects that might be on the ship's path. A solution to identify these threats is the use of UAV's to overfly the ship's planned path. This solution is described in this paper, using an autonomous fixed wing UAV. Based on the provided ship's planned path, the UAV should autonomously map the area close to the ship track. To do that, an optimization problem is solved using Model Predictive Control, where the turn rate for the next time period is optimized. Based on the turn rate, the future path of the UAV is calculated and the waypoints are sent to the autopilot. This application is thoroughly tested using a Software In Loop environment, where an aircraft model is used with the autopilot's simulation. The results show that surveillance performance is improved if the UAV has information about the ship's velocity in addition to position.

show abstract

“…A moving object of protection may be not be able to rely solely on satellite Synthetic Aperture Radar (SAR) imagery, as these generally have limited availability and coverage, with sample times in the order of days. Recent studies have introduced the use of Unmanned Aerial Systems, UAS's, as a supplement to local sensors such as ship-or stationary radar [10,8,14]. In the Arctic, objects are tracked over a geographically vast area.…”

Section: Introductionmentioning

confidence: 99%

Cooperative remote sensing of ice using a Spatially Indexed Labeled Multi-Bernoulli filter

Olofsson

Brekke

Johansen

2017

2017 International Conference on Unmanned Aircraft Systems (ICUAS)

View full text Add to dashboard Cite

Abstract-In polar region operations, drift ice positioning and tracking is useful for both scientific and safety reasons. Many sensors can be employed to generate detections of sea ice, such as satellite-carried Synthetic Aperture Radar (SAR) and, recently, imagery equipment carried by Unmanned Aerial Systems (UAS). Satellite-carried SAR has the advantage of being able to cover large areas and provide consistent imagery largely independent of weather, albeit at a relatively coarse resolution. Using UAS, the resolution and precision of the tracking can be locally improved.To track the large amount of individual objects present in an area as large as the Arctic, it is necessary to efficiently select and exclusively work with the objects in the relevant field-of-view. In this paper, a Spatially Indexed Labeled Multi-Bernoulli filter is presented and applied to a tracking problem representing a mission setup for field-tests due this year. In the setup, satellite and UAS imagery is combined to provide real-time Multi-Target Tracking of sea ice objects. A brief introduction is given to the implementation of the proposed Spatially Indexed Labeled Multi-Bernoulli filter, which is made available under an Open Source license.

show abstract

Autonomous Aerial Ice Observation for Ice Defense

Cited by 9 publications

References 35 publications

The Arctic DP Research Project: Effective Stationkeeping in Ice

The Arctic DP Research Project: Effective Stationkeeping in Ice

Autonomous UAV surveillance of a ship's path with MPC for maritime situational awareness

Cooperative remote sensing of ice using a Spatially Indexed Labeled Multi-Bernoulli filter

Contact Info

Product

Resources

About