Active sensing for search and tracking: A review
Active Position Estimation (APE) is the task of localizing one or more targets using one or
more sensing platforms. APE is a key task for search and rescue missions, wildlife …
more sensing platforms. APE is a key task for search and rescue missions, wildlife …
GTO-MPC-based target chasing using a quadrotor in cluttered environments
This article addresses the challenging problem of chasing an escaping target using a
quadrotor in cluttered environments. To tackle these challenges, we propose a guided time …
quadrotor in cluttered environments. To tackle these challenges, we propose a guided time …
A cooperative multiagent probabilistic framework for search and track missions
S Papaioannou, P Kolios… - … on Control of …, 2020 - ieeexplore.ieee.org
In this work, a robust and scalable cooperative multiagent searching and tracking (SAT)
framework is proposed. Specifically, we study the problem of cooperative SAT of multiple …
framework is proposed. Specifically, we study the problem of cooperative SAT of multiple …
A novel UAV path planning algorithm to search for floating objects on the ocean surface based on object's trajectory prediction by regression
M Boulares, A Barnawi - Robotics and Autonomous Systems, 2021 - Elsevier
Search and find mission in ocean environment is a none trivial operation given the amount
of random parameters associated with it. The uncertain and dynamic aspects related to …
of random parameters associated with it. The uncertain and dynamic aspects related to …
Probabilistic visibility-aware trajectory planning for target tracking in cluttered environments
Target tracking has numerous significant civilian and military applications, and maintaining
the visibility of the target plays a vital role in ensuring the success of the tracking task …
the visibility of the target plays a vital role in ensuring the success of the tracking task …
Aspire: An informative trajectory planner with mutual information approximation for target search and tracking
This paper proposes an informative trajectory planning approach, namely,\textit {adaptive
particle filter tree with sigma point-based mutual information reward approximation}(ASPIRe) …
particle filter tree with sigma point-based mutual information reward approximation}(ASPIRe) …
Motor-level N-MPC for cooperative active perception with multiple heterogeneous UAVs
This letter introduces a cooperative control framework based on Nonlinear Model Predictive
Control (NMPC) for solving an Active Information Acquisition problem (AIA) using a system …
Control (NMPC) for solving an Active Information Acquisition problem (AIA) using a system …
Trajectory prediction of flying vehicles based on deep learning methods
M Tan, H Shen, K Xi, B Chai - Applied Intelligence, 2023 - Springer
To deal with the threat from flying vehicles, it is of great significance to accurately predict the
flight trajectory of flying vehicles using the known historical position data. In this paper, we …
flight trajectory of flying vehicles using the known historical position data. In this paper, we …
Integrated ray-tracing and coverage planning control using reinforcement learning
S Papaioannou, P Kolios… - 2022 IEEE 61st …, 2022 - ieeexplore.ieee.org
In this work we propose a coverage planning control approach which allows a mobile agent,
equipped with a controllable sensor (ie, a camera) with limited sensing domain (ie, finite …
equipped with a controllable sensor (ie, a camera) with limited sensing domain (ie, finite …
Jointly-optimized searching and tracking with random finite sets
S Papaioannou, P Kolios… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In this paper, we investigate the problem of joint searching and tracking of multiple mobile
targets by a group of mobile agents. The targets appear and disappear at random times …
targets by a group of mobile agents. The targets appear and disappear at random times …