Search strategy in a complex and dynamic environment: the MH370 case

@article{Ivic2020SearchSI,
  title={Search strategy in a complex and dynamic environment: the MH370 case},
  author={Stefan Ivi'c and Bojan Crnkovi'c and Hassan Arbabi and Sophie Loire and Patrick Clary and Igor Mezi'c},
  journal={Scientific Reports},
  year={2020},
  volume={10}
}
Search and detection of objects on the ocean surface is a challenging task due to the complexity of the drift dynamics and lack of known optimal solutions for the path of the search agents. This challenge was highlighted by the unsuccessful search for Malaysian Flight 370 (MH370) which disappeared on March 8, 2014. In this paper, we propose an improvement of a search algorithm rooted in the ergodic theory of dynamical systems which can accommodate complex geometries and uncertainties of the… 
View on PubMed
View With Semantic Reader
4 Citations

4 Citations

Citation Type

Citation Type

Distributed Dynamic Predictive Control for Multi-AUV Target Searching and Hunting in Unknown Environments
TLDR
A distributed dynamic predictive control algorithm based on the idea of predictive control is proposed, which solves the problem of the reasonable distribution of potential points during the hunting process and realizes the formation of hunting rapidly.
2D multi-area coverage path planning using L-SHADE in simulated ocean survey
A Backseat Control Architecture for a Slocum Glider
TLDR
A backseat driver system was developed and installed on a Slocum glider to equip it with an ability to perform adaptive sampling tasks underwater and revealed that the back seat driver could effectively instruct the depth, heading, and waypoints as well as activate or deactivate behaviors adaptively.
DEVS-based Evaluation of UAVs-based Target-search Strategies in Realistically-modeled Missions
TLDR
The Discrete Event System Specification (DEVS) is used to exploit its modular and hierarchical design, and to improve the reusability and scalability of the evaluation system.

References

SHOWING 1-10 OF 63 REFERENCES
Search-theoretic and ocean models for localizing drifting objects
TLDR
The presented work investigates the impact of using naïve vs. optimized search patterns on localizing a drifting object, including a surrogate ocean model using idealized flow with Weibull-distributed perturbations.
A dynamical systems approach to the surface search for debris associated with the disappearance of flight MH370
TLDR
A revised search strategy is proposed by showing why one might not have expected to find debris in some large search areas targeted by the Australian Maritime Safety Authority (AMSA), and determining regions where one might have expected impact debris to be located, which were not subjected to any exploration.
Real-Time Area Coverage and Target Localization Using Receding-Horizon Ergodic Exploration
TLDR
A receding-horizon ergodic control approach, based on hybrid systems theory, that has the potential to fill the gap between coverage, search, and target localization and is distributable across multiple agents so that each agent can independently compute its own control while sharing statistics of its coverage across a communication network.
Drift simulation of MH370 debris using superensemble techniques
Abstract. On 7 March 2014 (UTC), Malaysia Airlines flight 370 vanished without a trace. The aircraft is believed to have crashed in the southern Indian Ocean, but despite extensive search operations…
Analysis of flight MH370 potential debris trajectories using ocean observations and numerical model results
ABSTRACT Malaysian Airlines flight MH370 disappeared in March 2014. Potential sites of where the plane entered the water are considered within a vast region of the Indian Ocean. We present a…
Hierarchical Heuristic Search Using a Gaussian Mixture Model for UAV Coverage Planning
TLDR
This work presents a new class of algorithms that account for partial detection in the form of a task difficulty map and produce paths that approximate the payoff of optimal solutions during unmanned aerial vehicle (UAV) search missions.
Ergodic Exploration of Distributed Information
TLDR
The results demonstrate that the ergodic exploration of distributed information algorithm outperforms commonly used information-oriented controllers, particularly when distractions are present.
Optimal search for moving targets with sensing capabilities using multiple UAVs
TLDR
A multi-UAV search path planning optimization model based on the model predictive control (MPC) method is constructed, and a hybrid particle swarm optimization algorithm with a crossover operator is designed to solve the model.
Evolutionary Planning of Multi-UAV Search for Missing Tourists
TLDR
A hybrid evolutionary algorithm which consists of the main algorithm and a sub-algorithm to solve the problem of scheduling multiple UAVs to search for missing tourists and proposes a method for estimating tourist location probabilities which change with topographic features, weather conditions, and time.
Ant colony optimization for multi-UAV minimum time search in uncertain domains
...
1
2
3
4
5
...