EURASIP Journal on Advances in Signal Processing
Optimal sensor placement for agent localization
ACM Transactions on Sensor Networks (TOSN)
Trajectory planning and sliding-mode control based trajectory-tracking for cybercars
Integrated Computer-Aided Engineering - Informatics in Control, Automation and Robotics
Integrated Computer-Aided Engineering - Informatics in Control, Automation and Robotics
Visual perception in design and robotics
Integrated Computer-Aided Engineering - Informatics in Control, Automation and Robotics
Mobile robot formation control using a modified leader-follower technique
Integrated Computer-Aided Engineering
Computational receding horizon approach to safe trajectory tracking
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
Computational Principles of Mobile Robotics
Computational Principles of Mobile Robotics
Extended Kalman and Particle Filtering for sensor fusion in motion control of mobile robots
Mathematics and Computers in Simulation
EKF-Based Localization of a Wheeled Mobile Robot in Structured Environments
Journal of Intelligent and Robotic Systems
An accurate algebraic solution for moving source location using TDOA and FDOA measurements
IEEE Transactions on Signal Processing
IEEE Transactions on Intelligent Transportation Systems
A Statistical Model for Indoor Multipath Propagation
IEEE Journal on Selected Areas in Communications
A transferable belief model applied to LIDAR perception for autonomous vehicles
Integrated Computer-Aided Engineering
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In this paper, we present the design and performance analysis of an innovative system for tracking Automated Guided Vehicles AGVs in indoor industrial scenarios. An on-board odometer provides information about the dynamic state of the AGV, allowing to predict its pose i.e., its position and orientation. At the same time, an external Ultra-Wide Band UWB wireless network provides the information necessary to compensate for the error drift accumulated by the odometer. Two novel alternative solutions for AGV tracking are proposed: i a classical Time Differences Of Arrivals TDOA approach with a single receiver; ii a "Twin-receiver" TDOA TTDOA approach, that requires the presence of two independent receivers on the AGV. The TTDOA configuration allows to indirectly estimate the orientation of the vehicle, thus increasing the estimation accuracy. Moreover, this allows direct estimation of the vehicle's movement even when the odometer is not working properly e.g., temporary failure or when the AGV is not moving e.g., at the start-up. The system performance with the two proposed tracking algorithms is evaluated in realistic conditions, by considering a consolidated UWB channel model and a simple on-board energy detector receiver. The impact of the wireless network architecture and of the presence of moving obstacles is analyzed. The obtained results show clearly that the implementation of a tracking system with a sub-centimeter accuracy can be realized by means of low-complexity UWB receiver and commercial odometers. The automatic movement of goods within a warehouse is one of the most appealing application of the proposed tracking system.