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Conclusion and Future Work

  • Yue WangEmail author
  • Islam I. Hussein
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 427)

Abstract

In this chapter, we summarize the main results and contributions of the book. That is, we treat the problem of domain search and object classification as two competing tasks using MAVs with limited sensory resources. The domain search problem is formulated as coverage control. Awareness-, Bayesian-, risk-based decision-making strategies are proposed in sequence. The proposed strategies guarantee the detection and satisfactory classification of all the unknown objects in the domain. We further extend the risk-based detection method to Bayesian sequential estimation and present an integrated detection and estimation scheme for sensor management. A list of future research directions relating to this book is also provided.

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Copyright information

© Springer-Verlag London Ltd. 2012

Authors and Affiliations

  1. 1.Department of Electrical EngineeringUniversity of Notre DameNotre DameUSA
  2. 2.Department of Mechanical EngineeringWorcester Polytechnic InstituteWorcesterUSA

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