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Tracking Target Motion

Tracking Target Motion
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Target Tracking

Radar Systems Analysis and Design Using MATLAB®, 2022
Slavisa Tomic, Marko Beko, Rui Dinis, Milan Tuba, Nebojsa Bacanin   +4 more
semanticscholar   +3 more sources

Fixed-Time Resilient Edge-Triggered Estimation and Control of Surface Vehicles for Cooperative Target Tracking Under Attacks

IEEE Transactions on Intelligent Vehicles, 2023
This paper is concerned with the cooperative target tracking of under-actuated unmanned surface vehicles (USVs) with event-triggered communications subject to denial-of-service (DoS) attacks. The target position information can be sensed by a fraction of
Shengnan Gao, Zhouhua Peng, Lu Liu, Dan Wang, Qing‐Long Han   +4 more
semanticscholar   +1 more source

Aligned Spatial-Temporal Memory Network for Thermal Infrared Target Tracking

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2023
Thermal infrared (TIR) target tracking is susceptible to occlusion and similarity interference, which obviously affects the tracking results. To resolve this problem, we develop an Aligned Spatial-Temporal Memory network-based Tracking method (ASTMT) for
Di Yuan, Xiu Shu, Qiao Liu, Zhenyu He
semanticscholar   +1 more source

Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark

IEEE transactions on multimedia, 2023
Multi-drone multi-target tracking aims at collabo- ratively detecting and tracking targets across multiple drones and associating the identities of objects from different drones, which can overcome the shortcomings of single-drone object tracking.
Zhihao Liu, Yuanyuan Shang, Timing Li, Guanlin Chen, Yu Wang, Qinghua Hu, Pengfei Zhu   +6 more
semanticscholar   +1 more source

Cooperative Target Tracking of Multiple Autonomous Surface Vehicles Under Switching Interaction Topologies

IEEE/CAA Journal of Automatica Sinica, 2023
This paper is concerned with the cooperative target tracking of multiple autonomous surface vehicles (ASVs) under switching interaction topologies. For the target to be tracked, only its position can be measured/received by some of the ASVs, and its ...
Lang Ma, Yu-Long Wang, Qing‐Long Han
semanticscholar   +1 more source

Dynamic Target Tracking Control of Autonomous Underwater Vehicle Based on Trajectory Prediction

IEEE Transactions on Cybernetics, 2022
Underwater dynamic target tracking technology has a wide application prospect in marine resource exploration, underwater engineering operations, naval battlefield monitoring, and underwater precision guidance.
Xiang Cao, Lu Ren, Changyin Sun
semanticscholar   +1 more source

Deep Reinforcement Learning Multi-UAV Trajectory Control for Target Tracking

IEEE Internet of Things Journal, 2021
In this article, we propose a novel deep reinforcement learning (DRL) approach for controlling multiple unmanned aerial vehicles (UAVs) with the ultimate purpose of tracking multiple first responders (FRs) in challenging 3-D environments in the presence ...
J. Moon, Savvas Papaioannou, C. Laoudias, P. Kolios, Sunwoo Kim   +4 more
semanticscholar   +1 more source

Target Capacity Based Resource Optimization for Multiple Target Tracking in Radar Network

IEEE Transactions on Signal Processing, 2021
In this paper, a target capacity based resource optimization (TC-RO) scheme is developed for multiple target tracking (MTT) application in radar networks.
Junkun Yan, Jinhui Dai, Wenqiang Pu, Hongwei Liu, M. Greco   +4 more
semanticscholar   +1 more source

Target Tracking Control of a Biomimetic Underwater Vehicle Through Deep Reinforcement Learning

IEEE Transactions on Neural Networks and Learning Systems, 2021
In this article, the underwater target tracking control problem of a biomimetic underwater vehicle (BUV) is addressed. Since it is difficult to build an effective mathematic model of a BUV due to the uncertainty of hydrodynamics, target tracking control ...
Yu Wang, Chong Tang, Shuo Wang, L. Cheng, Rui Wang, M. Tan, Zengguang Hou   +6 more
semanticscholar   +1 more source