Optimal sensor placement and motion coordination for target tracking

By Sonia Martínez, Francesco Bullo. at - Automatisierungstechnik, 2006

383 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/ae787c217fe9880fb2e643c6f3fbc90312bae2a1

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In Artificial Intelligence

In Computer Networks and Communications

Citations in the corpus

Human Interaction With Robot Swarms: A Survey (2016, background): “The authors of [32] unify prior work on connectivity maintenance [33], rendezvous [34], deployment [35], [36], boundary estimation [37], and tracking [38], and present a rigorous model for control and communication in such networks.”
Kalman-Consensus Filter : Optimality, stability, and performance (2009, background): “Complex networked control and sensing systems with multi-modal sensing and actuation capabilities can be deployed for monitoring and reacting to the events occurring in an environment with a wide range of applications including distributed tracking and self-calibration in sensor networks [ 10 ], [18”
Decentralized estimation and control of graph connectivity in mobile sensor networks (2008, background): “In mobile sensor network systems, current research areas include target tracking [14], [22], [ 11 ], formation and coverage control [2]‐[4], [6], environmental monitoring [10], [16], [18], and several others.”
Optimality analysis of sensor-target localization geometries (2010, background): “In [21] an important result concerning the localization geometry for sensors which measure certain functions of the sensor-target range is provided in both R and R.”
Coordinated patterns of unit speed particles on a closed curve (2007, background): “Some of the latest research results 25 demonstrate that control over relative positions among sensor platforms has significant impact on the quality of information 27 collected by the entire network cf. [15] [16] [20] [35].”