Combining temporal planning with probabilistic reasoning for autonomous surveillance missions
It is particularly challenging to devise techniques for underpinning the behaviour of
autonomous vehicles in surveillance missions as these vehicles operate in uncertain and …
autonomous vehicles in surveillance missions as these vehicles operate in uncertain and …
Efficient planning under uncertainty for a target-tracking micro-aerial vehicle
R He, A Bachrach, N Roy - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The
agent has partial information of each target's pose, and must reason about its uncertainty of …
agent has partial information of each target's pose, and must reason about its uncertainty of …
Target assignment for integrated search and tracking by active robot networks
This paper presents a new task assignment algorithm that integrates area search and target
tracking. A new tracking metric is derived that encodes the ability of each robot to reach an …
tracking. A new tracking metric is derived that encodes the ability of each robot to reach an …
Bayesian-based decision-making for object search and classification
Y Wang, II Hussein - IEEE Transactions on Control Systems …, 2010 - ieeexplore.ieee.org
This paper focuses on the development of real-time decision-making criteria for an
autonomous vehicle whose tasks to be performed are competing under limited sensory …
autonomous vehicle whose tasks to be performed are competing under limited sensory …
[图书][B] Search and classification using multiple autonomous vehicles: decision-making and sensor management
Y Wang, II Hussein - 2012 - Springer
Search and Classification Using Multiple Autonomous Vehicles provides a comprehensive
study of decision-making strategies for domain search and object classification using …
study of decision-making strategies for domain search and object classification using …
Combining area patrol, perimeter surveillance, and target tracking using ordered upwind methods
EW Frew - 2009 IEEE International Conference on Robotics …, 2009 - ieeexplore.ieee.org
The problems of area patrol, perimeter surveillance, and target tracking are combined into a
single reconnaissance framework. This integration is based on application of ordered …
single reconnaissance framework. This integration is based on application of ordered …
Cost-aware Bayesian sequential decision-making for search and classification
A cost-aware Bayesian sequential decision-making strategy for domain search and object
classification using a limited-range sensor is presented. On one hand, it is risky to allocate …
classification using a limited-range sensor is presented. On one hand, it is risky to allocate …
Bayesian-based decision making for object search and characterization
Y Wang, II Hussein - 2009 American Control Conference, 2009 - ieeexplore.ieee.org
This paper focuses on the development of decision making criteria for autonomous vehicles
where the tasks to be performed are competing under limited vehicle and sensory …
where the tasks to be performed are competing under limited vehicle and sensory …
Multiple vehicle Bayesian-based domain search with intermittent information sharing
Y Wang, II Hussein - … of the 2011 American Control Conference, 2011 - ieeexplore.ieee.org
This paper focuses on the development of Bayesian-based domain search strategies for
distributed multiple autonomous vehicles with intermittent information sharing. Multi-sensor …
distributed multiple autonomous vehicles with intermittent information sharing. Multi-sensor …
Cost-aware sequential Bayesian tasking and decision-making for search and classification
This paper focuses on the development of a cost-aware sequential Bayesian decision-
making strategy for the search and classification of multiple unknown objects within a task …
making strategy for the search and classification of multiple unknown objects within a task …