A Swarm-Intelligence Approach to Oil Spill Mapping using Unmanned Aerial Vehicles

2017 ◽  
Author(s):  
Zachary Ball ◽  
Philip Odonkor ◽  
Souma Chowdhury
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Swarm Intelligence ◽  
Oil Spill ◽  
Aerial Vehicles ◽  
Intelligence Approach

A Distributed Intelligence Approach to Using Collaborating Unmanned Aerial Vehicles for Oil Spill Mapping

2017 ◽  
Author(s):  
Philip Odonkor ◽  
Zachary Ball ◽  
Souma Chowdhury
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Oil Spill ◽  
Situational Awareness ◽  
Oil Spills ◽  
Image Data ◽  
Distributed Intelligence ◽  
Probability Map ◽  
Swarm Dynamics ◽  
Aerial Vehicles ◽  
Segmentation Approach

From swarming locusts to schools of fish, the complex emergent behaviors exhibited by multi-agent swarm systems in nature present a compelling basis for their application towards real-world challenges. This paper capitalizes on this potential by proposing a swarm-intelligence inspired approach towards mapping complex offshore oil spills — one that uses a collaborating team of small (inexpensive) unmanned aerial vehicles. By leveraging the idea of occupancy grids, a new probability map concept is developed to enable agent-level situational awareness, while significantly reducing computing overheads (image data to intelligence generation in <1 sec) and communication overheads (< 1.7 KB of average data sharing across the swarm agents). The probability map is further exploited for waypoint planning using the principles of swarm dynamics and a rule-based reasoning approach to allow for dynamic preference shifts towards map exploitation and exploration. Detection of oil is performed by using a generalizable concept of anomaly detection that is derived from a color-based segmentation approach. Two simulated case studies, derived from actual oil spill images, are presented with results highlighting the strengths of the proposed approach.

Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence

2018 ◽  
Vol 72 ◽  
pp. 10-20 ◽  
Author(s):  
Janaína Schwarzrock ◽  
Iulisloi Zacarias ◽  
Ana L.C. Bazzan ◽  
Ricardo Queiroz de Araujo Fernandes ◽  
Leonardo Henrique Moreira ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Swarm Intelligence ◽  
Task Allocation ◽  
Allocation Problem ◽  
Aerial Vehicles

scholarly journals Overview of surveillance tools in oil spill response – responders' view based on case studies

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Marta Januszewska
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Working Conditions ◽  
Oil Spill ◽  
New Technologies ◽  
Lessons Learned ◽  
Response Elements ◽  
Advantages And Disadvantages ◽  
Aerial Vehicles ◽  
Oil Spill Response ◽  
Different Response

ABSTRACT With a growing market of new technologies in surveillance for oil spill response, it has become increasingly difficult for users to understand which surveillance tool is best suited for their requirements. Oil Spill Response Organisation's (OSROs) such as Oil Spill Response Limited (OSRL) require an easily-deployable, yet durable solution available to be utilised in a range of working conditions. The surveillance platform and type of sensor will be heavily influenced by the response scenario. This paper provides an overview of surveillance platforms such as the surveillance kite, UAV's (Unmanned Aerial Vehicles) and tethered balloon utilised by OSRL in different response scenarios on real incidents. The examples include offshore and shoreline incidents and exercises with offshore and shoreline response elements. In each of the examples the focus will be on the advantages and disadvantages of the surveillance tool chosen for the task, and lessons learned from each case/experience.

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