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Jointly-optimized Searching and Tracking with Random Finite Sets

Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides, Christos G. Panayiotou, Marios Polycarpou
2019 IEEE Transactions on Mobile Computing  
In this paper, we investigate the problem of joint searching and tracking of multiple mobile targets by a group of mobile agents.  ...  A decision and control problem arises, where the mode of operation (i.e., search or track) as well as the mobility control action for each agent, at each time instance, must be determined so that the collective  ...  To address the above challenges, we propose a unified probabilistic approach to jointly tackle the problem of searching and tracking of multiple moving targets by a team of mobile agents.  ... 
doi:10.1109/tmc.2019.2922133 fatcat:5sh2gben4nhknmxhxb5i3q7laq

Coverage-aware distributed target tracking for mobile sensor networks

Silvia Giannini, Donato Di Paola, Alessandro Rizzo
2012 2012 IEEE 51st IEEE Conference on Decision and Control (CDC)  
In this paper, we deal with the problem of distributed target tracking with heterogeneous mobile robots.  ...  In particular, each mobile node has limited sensing range and can estimate (either by measuring or by predicting) the target position.  ...  The concept of coverage awareness, as a secondary task to be accomplished by a mobile tracking agent, is of fundamental importance for the development of novel distributed, multi-target tracking algorithms  ... 
doi:10.1109/cdc.2012.6426069 dblp:conf/cdc/GianniniPR12 fatcat:nxw5nxq2rnd6zottzw224lvhne

Cooperative multi-target tracking via hybrid modeling and geometric optimization

Domagoj Tolic, Rafael Fierro, Silvia Ferrari
2009 2009 17th Mediterranean Conference on Control and Automation  
When these observations form a satisfactory target trajectory, a mobile sensor is switched to pursuit mode and deployed to capture the target in minimum time.  ...  The model is applied to a case study where a heterogeneous mobile sensor network cooperatively detects and tracks mobile targets in the plane based on intermittent observations.  ...  The work of S. Ferrari was supported in part by the Office of Naval Research (Code 321), and by NSF grant ECS CAREER #0448906.  ... 
doi:10.1109/med.2009.5164581 fatcat:3l4u6pe2qbhmtof72yj4boiwgy

On a decentralized active sensing strategy using mobile sensor platforms in a network

T.H. Chung, V. Gupta, J.W. Burdick, R.M. Murray
2004 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)  
We then examine the task of tracking multiple targets, and address it via a simple extension to our algorithm.  ...  In this paper, we consider the problem of active sensing using mobile nodes as a sensor network to estimate the state of a dynamic target.  ...  A single target must be localized and tracked by three sensing agents.  ... 
doi:10.1109/cdc.2004.1430327 fatcat:hs6miskhhbhjzl7er7lyb77ss4

A Survey on Techniques in the Circular Formation of Multi-Agent Systems

Hamida Litimein, Zhen-You Huang, Ameer Hamza
2021 Electronics  
The circular formation control of multi-agent systems becomes one of the most challenging and active research topics in distributed cooperative control.  ...  Distributed control solutions to the multi-agent systems in terms of coordination, formation, and consensus problems are extensively studied in the literature.  ...  Finite-time circular formation control tracking of moving target by using the backstepping technique is investigated in [99] under a directed graph topology.  ... 
doi:10.3390/electronics10232959 fatcat:naxe6o6sovglrpoznsglkcjdwi

Table of Contents

2021 2021 IEEE International Conference on Unmanned Systems (ICUS)  
Ganglin Tian, Xinyu Zhang*, Shichun Guo, Yuchao Liu, Xiaonan Liu, Kun Wang 20210378 Distributed Finite-Time Cooperative Guidance Against a Moving Target: A 1037 Finite-Time  ...  786 Tracking Zhentao Yu, Peng Liu, Zhongging Wang, Zhigang Lu, Yuedong Ma 20210294 A novel target tracking method in unmanned drones by gaze  ... 
doi:10.1109/icus52573.2021.9641472 fatcat:dfgczu2c4vahlkz4ecryl6klg4

Real-Time Area Coverage and Target Localization using Receding-Horizon Ergodic Exploration [article]

Anastasia Mavrommati, Emmanouil Tzorakoleftherakis, Ian Abraham and Todd D. Murphey
2017 arXiv   pre-print
We demonstrate the method in both simulation and in experiment in the context of target localization, illustrating that the algorithm is independent of the number of targets being tracked and can be run  ...  Moreover, the approach 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.  ...  Several promising coverage control algorithms for mobile sensor networks have been proposed.  ... 
arXiv:1708.08416v1 fatcat:qwhkc5qq6zh67dbkubqeaghdra

Potential Game-Based Non-Myopic Sensor Network Planning for Multi-Target Tracking

Su-Jin Lee, Soon-Seo Park, Han-Lim Choi
2018 IEEE Access  
This paper presents a potential game-based method for non-myopic planning of mobile sensor networks in the context of target tracking.  ...  The main contributions of this paper are twofold: (a) to formulate a non-myopic planning problem for tracking multiple targets into a potential game, the size of which linearly increases as the number  ...  by finite time t * is at least * .  ... 
doi:10.1109/access.2018.2885027 fatcat:jyavcent2jenzbsuvlmufnts7q

Decentralized Search and Track with Multiple Autonomous Agents

Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides, Christos G. Panayiotou, Marios M. Polycarpou
2019 2019 IEEE 58th Conference on Decision and Control (CDC)  
In this paper we study the problem of cooperative searching and tracking (SAT) of multiple moving targets with a group of autonomous mobile agents that exhibit limited sensing capabilities.  ...  Based on this, we develop decentralized cooperative look-ahead strategies for efficient searching and tracking of an unknown number of targets inside a bounded surveillance area.  ...  RFS-based simultaneous coverage and tracking algorithms for tracking multiple targets.  ... 
doi:10.1109/cdc40024.2019.9029236 dblp:conf/cdc/PapaioannouKTPP19 fatcat:3o36kmonxnexhgcyog3lhunxmm

Scalable Approach to Uncertainty Quantification and Robust Design of Interconnected Dynamical Systems [article]

Andrzej Banaszuk, Vladimir A. Fonoberov, Thomas A. Frewen, Marin Kobilarov, George Mathew, Igor Mezic, Alessandro Pinto, Tuhin Sahai, Harshad Sane, Alberto Speranzon, Amit Surana
2011 arXiv   pre-print
the mission including model-based target tracking and search, and trajectory planning in uncertain urban environment.  ...  of the problem.  ...  We called the positive influence of the discussions with Jerry Marsden that stayed with us for a long time after the discussions and kept us pursuing the research with hope and excitement "the Jerry effect  ... 
arXiv:1103.0733v1 fatcat:k3tpcelfcrfw7euwzm2ignq2gu

Distributed Kalman filtering via node selection in heterogeneous sensor networks

Donato Di Paola, Antonio Petitti, Alessandro Rizzo
2014 International Journal of Systems Science  
An application of the algorithm to the problem of distributed target tracking over a network of heterogeneous range-bearing sensors is shown.  ...  We prove the convergence, in finite time, of all the local estimates to the most accurate one at each discrete iteration, as well as the equivalence with a centralised Kalman filter with multiple measurements  ...  Acknowledgements We would like to thank Paolo Da Pelo for inspiring discussions and Grazia Cicirelli for contributions to the early idea of this approach.  ... 
doi:10.1080/00207721.2013.873836 fatcat:zccziqvw3fe4ldturh3fnv27zm

UAV Swarm Intelligence: Recent Advances and Future Trends

Yong-Kun Zhou, Bin Rao, Wei Wang
2020 IEEE Access  
Then we look inside to investigate the research work by classifying UAV swarm intelligence research into five layers, i.e., decision-making layer, path planning layer, control layer, communication layer  ...  In this paper, we present a comprehensive survey of UAV swarm intelligence from the hierarchical framework perspective. Firstly, we review the basics and advances of UAV swarm intelligent technology.  ...  At the same time, it uses part of the knowledge of target mobility to improve the efficiency of the algorithm [74] .  ... 
doi:10.1109/access.2020.3028865 fatcat:bvru22a2jregnmzbpehefg7irm

Towards the Robotic "Avatar": An Extensive Survey of the Cooperation between and within Networked Mobile Sensors

Sebahattin Topal, İsmet Erkmen, Aydan M. Erkmen
2010 Future Internet  
We conclude by discussing future challenges.  ...  Cooperation between networked mobile sensors, wearable and sycophant sensor networks with parasitically sticking agents, and also having human beings involved in the loop is the "Avatarization" within  ...  If time and energy become primary issues, multiple area coverage should be prevented when it is detected by the algorithm. Decentralization is the main cause for this need of compensation.  ... 
doi:10.3390/fi2030363 fatcat:5gxwfqeh25ahhiz7s3fxfrgrda

Scalable approach to uncertainty quantification and robust design of interconnected dynamical systems

Andrzej Banaszuk, Vladimir A. Fonoberov, Thomas A. Frewen, Marin Kobilarov, George Mathew, Igor Mezic, Alessandro Pinto, Tuhin Sahai, Harshad Sane, Alberto Speranzon, Amit Surana
2011 Annual Reviews in Control  
the mission including model-based target tracking and search, and trajectory planning in uncertain urban environment.  ...  of the problem.  ...  We called the positive influence of the discussions with Jerry Marsden that stayed with us for a long time after the discussions and kept us pursuing the research with hope and excitement ''the Jerry effect  ... 
doi:10.1016/j.arcontrol.2011.03.005 fatcat:5bojnofsbnhslk6hpzjsjiaypm

A Survey on Aerial Swarm Robotics

Soon-Jo Chung, Aditya Avinash Paranjape, Philip Dames, Shaojie Shen, Vijay Kumar
2018 IEEE Transactions on robotics  
The use of aerial swarms to solve real-world problems has been increasing steadily, accompanied by falling prices and improving performance of communication, sensing, and processing hardware.  ...  A key enabling technology for swarms is the family of algorithms that allow the individual members of the swarm to communicate and allocate tasks amongst themselves, plan their trajectories, and coordinate  ...  Solving SLAM using multiple distributed sensors (e.g., multiple cameras carried by different aerial robots) is hence related to target tracking and estimation discussed in Sec. IV-A and Algorithm 2.  ... 
doi:10.1109/tro.2018.2857475 fatcat:4blp42msbzakvmwlwyd3e57o2e
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