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Erlandsson, Tina
Publications (10 of 15) Show all publications
Erlandsson, T. (2016). Coordinated Target Assignment and Route Planning for Air Team Mission Planning. In: Zdravko Markov and Ingrid Russell (Ed.), Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference: . Paper presented at FLAIRS 2016, Key Largo, Florida. May 16–18, 2016 (pp. 38-43). Palo Alto, California: AAAI Press
Open this publication in new window or tab >>Coordinated Target Assignment and Route Planning for Air Team Mission Planning
2016 (English)In: Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference / [ed] Zdravko Markov and Ingrid Russell, Palo Alto, California: AAAI Press, 2016, p. 38-43Conference paper, Published paper (Refereed)
Abstract [en]

Planning air missions for a team flying in hostile environmentsis a complex task, since multiple interrelated goalsneed to be considered, e.g., performing the mission tasks andavoiding enemy fire. The target assignment and route planningfor the team should therefore be performed in a coordinatedway. The mission planner suggested in this work combinesgenetic algorithms and particle swarm optimization inorder to solve these two problems in an interconnected manner.Simulations are used for testing and analyzing the approach.It is concluded that the mission planner is able tosuggest suitable plans in complex scenarios with three interrelatedobjectives: low risk exposure, high mission effectivenessand short route length.

Place, publisher, year, edition, pages
Palo Alto, California: AAAI Press, 2016
Keywords
Team mission planning, target assignment, route planning, path planning, particle swarm optimization, genetic algorithms
National Category
Computer Sciences
Research subject
Technology; Skövde Artificial Intelligence Lab (SAIL)
Identifiers
urn:nbn:se:his:diva-13414 (URN)2-s2.0-85004010213 (Scopus ID)978-1-57735-756-8 (ISBN)
Conference
FLAIRS 2016, Key Largo, Florida. May 16–18, 2016
Projects
Human-machine interaction for distributed decision-making
Funder
VINNOVA, NFFP-2013-01201
Available from: 2017-03-02 Created: 2017-03-02 Last updated: 2018-01-13Bibliographically approved
Erlandsson, T., Marcus, C. & Boström, P. (2016). Distributed and Collaborative Sensing for Providing Situation and Option Awareness. In: Zdravko Markov and Ingrid Russell (Ed.), Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference: . Paper presented at FLAIRS 2016 (pp. 704-704). Palo Alto, California: AAAI Press
Open this publication in new window or tab >>Distributed and Collaborative Sensing for Providing Situation and Option Awareness
2016 (English)In: Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference / [ed] Zdravko Markov and Ingrid Russell, Palo Alto, California: AAAI Press, 2016, p. 704-704Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Teams of manned and unmanned aircraft have the opportunityto gather a huge amount of information regardingthe situation at hand. Together they can cover larger areasas well as sensing the same objects from different directionsenabling triangulation using combination of activeand/or passive sensors as well as image recognition. Combiningthis data with intelligence, maps and weather informationhas the potential of providing both the teams andthe commanders with situation awareness. This informationshould aid the decision makers to identify possibleoptions and anticipate their consequences, which is alsoknown as option awareness. A number of challenges needto be resolved in order to actualize this scenario. Thecommander who is interested in the entire battlespaceneeds to decide how to distribute the teams in air. Eachteam needs to collaborate to perform its tasks, taking intoaccount the members’ capabilities and resources, such assensor and communication ranges. The teams should alsorequest support from each other when needed. At all levels,there is a trade-off between gathering valuable informationand avoiding risk exposure. In this initial work, we elaborateon the opportunities and challenges with distributedand collaborative sensing with the aim of providing situationand option awareness for both commanders and pilots.

Place, publisher, year, edition, pages
Palo Alto, California: AAAI Press, 2016
National Category
Computer Sciences
Research subject
Technology; Skövde Artificial Intelligence Lab (SAIL)
Identifiers
urn:nbn:se:his:diva-13415 (URN)978-1-57735-756-8 (ISBN)
Conference
FLAIRS 2016
Projects
Human-machine interaction for distributed decision-making
Funder
VINNOVA, NFFP-2013-01201
Available from: 2017-03-02 Created: 2017-03-02 Last updated: 2018-03-28Bibliographically approved
Erlandsson, T. & Niklasson, L. (2015). An Air-to-Ground Combat Survivability Model. Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 12(3), 273-287
Open this publication in new window or tab >>An Air-to-Ground Combat Survivability Model
2015 (English)In: Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, ISSN 1557-380X, Vol. 12, no 3, p. 273-287Article in journal (Refereed) Published
Abstract [en]

A survivability model can be a useful component of a tactical support system able to aid fighter pilots to assess the risk of getting hit by enemy fire from ground-based threats. This work identifies three desirable properties of such a model: it should allow for evaluating actions; it should enable domain experts to incorporate their knowledge; and it should represent uncertainties both regarding the locations of the threats as well as their future actions. A survivability model issuggested, which calculates the probability that the aircraft can fly a route unharmed and allows for routes of different lengths to be compared. A domain expert can describe the threats by specifying the risk of getting hit at a position of the route without having to consider the earlier actions of the aircraft and the threats. Three different threat models are suggested and compared. The influence of uncertainties regarding the positions of the threats is studied by calculating the probability density function for the survivability. Different representations that take into account both the uncertainty regarding the present and future situation are discussed. The results indicate that the suggested survivability model could be a useful component of a future tactical support system, even though some further development is needed.

Place, publisher, year, edition, pages
Sage Publications, 2015
Keywords
survivability model, fighter aircraft, tactical support system, uncertainty, ground-based threats
National Category
Computer and Information Sciences
Research subject
Technology; Skövde Artificial Intelligence Lab (SAIL)
Identifiers
urn:nbn:se:his:diva-8372 (URN)10.1177/1548512913484399 (DOI)000367550200006 ()2-s2.0-84942866246 (Scopus ID)
Available from: 2013-08-08 Created: 2013-08-08 Last updated: 2018-01-11Bibliographically approved
Erlandsson, T. (2015). Comparing Multi-Objective Approaches for Air Route Planning in Hostile Environments. In: CD-ROM Proceedings of The 12th International Conference on Modeling Decisions for Artificial Intelligence: . Paper presented at The 12th International Conference on Modeling Decisions for Artificial Intelligence (MDAI), Skövde, Sweden, September 21-23, 2015 (pp. 60-71).
Open this publication in new window or tab >>Comparing Multi-Objective Approaches for Air Route Planning in Hostile Environments
2015 (English)In: CD-ROM Proceedings of The 12th International Conference on Modeling Decisions for Artificial Intelligence, 2015, p. 60-71Conference paper, Published paper (Refereed)
Abstract [en]

Route planning for aircraft that should fly in hostile environmentscan be regarded as a multi-objective optimization problem, where the route should enable the aircraft to accomplish its mission tasks with a minimum risk exposure and minimum fuel consumption. This work compares different approaches for multi-objective route planning that have been suggested in the literature regarding their formulation of objectives as well as how they handle the decision maker’s preferences. It is concluded that most route planners minimize threat exposure and route length, but can also include altitude and flight dynamics constraints. Preferences regarding the objectives can be included in the route planning algorithms with weights or priorities. An alternative approach is that the route planner suggests a number of routes and thereafter lets the decision maker select the best one.

Keywords
Multi-objective optimization, route planning, path planning, aircraft, uav
National Category
Computer and Information Sciences
Research subject
Technology; Skövde Artificial Intelligence Lab (SAIL)
Identifiers
urn:nbn:se:his:diva-11616 (URN)978-91-637-9363-9 (ISBN)
Conference
The 12th International Conference on Modeling Decisions for Artificial Intelligence (MDAI), Skövde, Sweden, September 21-23, 2015
Funder
VINNOVA, NFFP6
Available from: 2015-10-18 Created: 2015-10-16 Last updated: 2018-03-28Bibliographically approved
Helldin, T. & Erlandsson, T. (2015). Supporting Fighter Pilot Decision Making through Team Option Awareness. In: Don Harris (Ed.), Engineering Psychology and Cognitive Ergonomics: 12th International Conference, EPCE 2015, Held as Part of HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings. Paper presented at 12th International Conference, EPCE 2015, Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015, Los Angeles, CA, USA, 2-7 August 2015 (pp. 345-355). Springer
Open this publication in new window or tab >>Supporting Fighter Pilot Decision Making through Team Option Awareness
2015 (English)In: Engineering Psychology and Cognitive Ergonomics: 12th International Conference, EPCE 2015, Held as Part of HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings / [ed] Don Harris, Springer, 2015, p. 345-355Conference paper, Published paper (Refereed)
Abstract [en]

Fighter pilots must often make decisions fast, under time-pressure and based on uncertain or incomplete data. Thus, decision-making in this envi-ronment poses several challenges on the pilots such as how to fulfil the goal of the mission, while at the same time limit the potential costs and risks taken to fulfil this goal. Another challenge involves the dynamic coordination of actions within the team of pilots needed to succeed with the mission efficiently. This paper discusses challenges and opportunities of introducing a decision-support tool in the fighter aircraft, aiding the pilots determine the best course(s) of ac-tion with regard to the team’s resources, opportunities and the possible risks in-volved. To do so, we apply the concept of option awareness, guiding the future development of decision support in the fighter aircraft domain.

Place, publisher, year, edition, pages
Springer, 2015
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9174
Keywords
Decision support, option awareness, fighter pilots, team decision making
National Category
Computer and Information Sciences
Research subject
Technology; Skövde Artificial Intelligence Lab (SAIL)
Identifiers
urn:nbn:se:his:diva-10947 (URN)10.1007/978-3-319-20373-7_33 (DOI)2-s2.0-84947209397 (Scopus ID)978-3-319-20372-0 (ISBN)978-3-319-20373-7 (ISBN)
Conference
12th International Conference, EPCE 2015, Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015, Los Angeles, CA, USA, 2-7 August 2015
Projects
NFFP6
Funder
VINNOVA
Available from: 2015-05-20 Created: 2015-05-20 Last updated: 2018-03-28Bibliographically approved
Erlandsson, T. & Niklasson, L. (2013). Comparing Air Mission Routes from a Combat Survival Perspective. In: Chutima Boonthum-Denecke and G. Michael Youngblood (Ed.), Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference: . Paper presented at Twenty-Sixth International Florida Artificial Intelligence Research Society Conference (FLAIRS-13) (pp. 58-63). AAAI Press
Open this publication in new window or tab >>Comparing Air Mission Routes from a Combat Survival Perspective
2013 (English)In: Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference / [ed] Chutima Boonthum-Denecke and G. Michael Youngblood, AAAI Press, 2013, p. 58-63Conference paper, Published paper (Refereed)
Abstract [en]

An aircraft flying inside hostile territory is exposed to the risk of getting detected and tracked by the enemy’s sensors,  and  subsequently  hit  by  its  weapons.  This paper  describes  a  combat  survivability  model  that can be used for assessing the risks associated with a mission route. In contrast to previous work, the model describes both the risk of getting tracked and the risk of getting hit, as well as the dependency between these risks.  Three  different  ways  of  using  the  model  for comparing routes from a combat survival perspective are  suggested.  The  survivability  for  the  end  point, i.e., the probability of flying the entire route without getting hit, is a compact way of summarizing the risks. Visualizing  how  the  risks  vary  along  the  route  can be  used  for  identifying  critical  parts  of  the  mission. Finally, assigning weights to different risks allow the opportunity to take preferences regarding risk exposure into account.

Place, publisher, year, edition, pages
AAAI Press, 2013
Keywords
Survivability, Air mission, Markov model, Route planning, Fighter aircraft, Unmanned aerial vehicle
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-8375 (URN)2-s2.0-84889812582 (Scopus ID)
Conference
Twenty-Sixth International Florida Artificial Intelligence Research Society Conference (FLAIRS-13)
Available from: 2013-08-09 Created: 2013-08-08 Last updated: 2018-01-11Bibliographically approved
Erlandsson, T. & Niklasson, L. (2013). Threat Assessment for Missions in Hostile Territory - From the Aircraft Perspective. In: Proceedings of the 16th international conference on information fusion (FUSION 2013): . Paper presented at 16th International Conference on Information Fusion 2013, Askeri Museum Harbiye, Istanbul, 9-12 July 2013 (pp. 1856-1862). IEEE Press
Open this publication in new window or tab >>Threat Assessment for Missions in Hostile Territory - From the Aircraft Perspective
2013 (English)In: Proceedings of the 16th international conference on information fusion (FUSION 2013), IEEE Press, 2013, p. 1856-1862Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE Press, 2013
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-8552 (URN)2-s2.0-84890853301 (Scopus ID)978-605-86311-1-3 (ISBN)
Conference
16th International Conference on Information Fusion 2013, Askeri Museum Harbiye, Istanbul, 9-12 July 2013
Available from: 2013-10-18 Created: 2013-10-18 Last updated: 2018-01-11Bibliographically approved
Helldin, T. & Erlandsson, T. (2012). Automation Guidelines for Introducing Survivability Analysis in Future Fighter Aircraft. In: ICAS 2012 CD-ROM Proceedings: 28th Congress of the International Council of the Aeronautical Sciences, 23 - 28 September 2012, Brisbane, Australia. Paper presented at 28th Congress of the International Council of the Aeronautical Sciences, 23 - 28 September 2012, Brisbane, Australia. Optimage Ltd.
Open this publication in new window or tab >>Automation Guidelines for Introducing Survivability Analysis in Future Fighter Aircraft
2012 (English)In: ICAS 2012 CD-ROM Proceedings: 28th Congress of the International Council of the Aeronautical Sciences, 23 - 28 September 2012, Brisbane, Australia, Optimage Ltd. , 2012Conference paper, Published paper (Refereed)
Abstract [en]

Pilots of fighter aircraft are often exposed to the risk of being hit by enemy fire from ground-based threats. It has been argued that the pilots could be aided by a tactical support system that automatically assesses the danger posed by such threats and analyzes the survivability of the mission. It has also been argued that the automation design of such system must be properly adapted according to the pilots' needs. In this paper, empirical results are presented regarding the characteristics of an operator-centered survivability support system in the fighter aircraft domain, where both the development of the system and its automation design are discussed. The results indicate a strong potential for the survivability model and the automation guidelines within the fighter aircraft domain, but also a need for further refinements of the model and the guidelines to reflect the specific characteristics of the domain.

Place, publisher, year, edition, pages
Optimage Ltd., 2012
Keywords
automation guidelines, survivability, fighter aircraft, tactical support, operator-centered automation
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-6919 (URN)978-0-9565333-1-9 (ISBN)
Conference
28th Congress of the International Council of the Aeronautical Sciences, 23 - 28 September 2012, Brisbane, Australia
Available from: 2012-12-17 Created: 2012-12-17 Last updated: 2018-01-11Bibliographically approved
Erlandsson, T. & Niklasson, L. (2012). Calculating Uncertainties in Situation Analysis for Fighter Aircraft Combat Survivability. In: Proceedings of the 15th International Conference on Information Fusion (FUSION 2012). Paper presented at 15th International Conference on Information Fusion, FUSION 2012; Singapore; 7 September 2012 through 12 September 2012 (pp. 196-203). IEEE Computer Society
Open this publication in new window or tab >>Calculating Uncertainties in Situation Analysis for Fighter Aircraft Combat Survivability
2012 (English)In: Proceedings of the 15th International Conference on Information Fusion (FUSION 2012), IEEE Computer Society, 2012, p. 196-203Conference paper, Published paper (Refereed)
Abstract [en]

The aim of situation analysis is to assess the relevant objects in the surroundings and interpret their relations and their impact in order for a decision maker to achieve situation awareness and be able to make suitable decisions. However, the information regarding the relevant objects is typically uncertain, which will induce uncertainty in the result from the situation analysis. If the kinematic states of the objects are estimated with a tracking filter, the estimates can be considered as random variables. Furthermore, the situation analysis algorithm is a function of these estimates entailing that the result from the situation analysis is random variable. This paper studies the fighter aircraft domain and a situation analysis algorithm that calculates the combat survivability, i.e., the probability that the aircraft can a fly a route inside hostile territory without getting hit by enemy fire. The survivability of different routes can be compared in order to decide where to fly. However, the uncertainties regarding the threats' positions imply that the survivability is uncertain and can be desribed as a random variable with a distribution. The unscented transform (UT) is here used for calculating the mean and standard deviation (std) of the survivability in a few scenarios with threats located on the ground. Simulations show that the position uncertainties affect both the mean and std of the survivability and that UT gives similar estimates as a Monte Carlo (MC) approach. UT therefore seems to be a promising approach for calculating the uncertainty in the survivability, which is more computational efficient than MC.

Place, publisher, year, edition, pages
IEEE Computer Society, 2012
Keywords
Situation analysis, uncertainty, unscented transform, figher aircraft, survivability
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-6589 (URN)2-s2.0-84867658199 (Scopus ID)978-0-9824438-4-2 (ISBN)978-0-9824438-5-9 (ISBN)
Conference
15th International Conference on Information Fusion, FUSION 2012; Singapore; 7 September 2012 through 12 September 2012
Available from: 2012-10-31 Created: 2012-10-31 Last updated: 2018-01-12Bibliographically approved
Helldin, T. & Erlandsson, T. (2011). Decision support system in the fighter aircraft domain: the first steps. Skövde: Institutionen för kommunikation och information
Open this publication in new window or tab >>Decision support system in the fighter aircraft domain: the first steps
2011 (English)Report (Other academic)
Place, publisher, year, edition, pages
Skövde: Institutionen för kommunikation och information, 2011. p. 41
Series
IKI Technical Reports ; HS-IKI-TR-11-001
Keywords
threat evaluation, threat handling, automation, trust, guidelines, fighter aircraft, decision support system, literature review
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-4890 (URN)
Available from: 2011-05-18 Created: 2011-05-18 Last updated: 2017-11-27Bibliographically approved
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