Autonomous Exploration and Mapping with RFS Occupancy-Grid SLAM
Entropy, 2018 This short note addresses the problem of autonomous on-line path-panning for exploration and occupancy-grid mapping using a mobile robot. The underlying algorithm for simultaneous localisation and mapping (SLAM) is based on random-finite set (RFS ...
Branko Ristic, Jennifer L. Palmer
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Random Finite Set-Based Anomaly Detection for Safety Monitoring in Construction Sites
IEEE Access, 2019 Low visibility hazard detection in construction sites is a crucial task for prevention of fatal accidents. Manual monitoring of construction workers to ensure they follow the safety rules (e.g., wear high-visibility vests) is a cumbersome task and ...
Ammar Mansoor Kamoona +6 more
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A Novel Gaussian Ant Colony Algorithm for Clustering Cell Tracking
Discrete Dynamics in Nature and Society, 2021 Cell behavior analysis is a fundamental process in cell biology to obtain the correlation between many diseases and abnormal cell behavior. Moreover, accurate number estimation plays an important role for the construction of cell lineage trees.
Mingli Lu +7 more
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Random finite set multi-target trackers: Stochastic geometry for space situational awareness
, 2015 © 2015 SPIE. This paper describes the recent development in the random finite set RFS paradigm in multi-target tracking. Over the last decade the Probability Hypothesis Density filter has become synonymous with the RFS approach.
Ba Tuong Vo (20066427), B. Vo (23425768)
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Sensor Selection for Decentralized Large-Scale Multi-Target Tracking Network
Sensors, 2018 A new optimization algorithm of sensor selection is proposed in this paper for decentralized large-scale multi-target tracking (MTT) network within a labeled random finite set (RFS) framework. The method is performed based on a marginalized δ-generalized
Feng Lian +3 more
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Distributed joint target detection, tracking and classification via Bernoulli filter
IET Radar, Sonar & Navigation, 2022 This paper aims to solve the problem of distributed joint detection, tracking and classification (D‐JDTC) of a target on a peer‐to‐peer sensor network.
Gaiyou Li +5 more
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Multi-Feature Matching GM-PHD Filter for Radar Multi-Target Tracking
Sensors, 2022 Multi-target tracking (MTT) is one of the most important functions of radar systems. Traditional multi-target tracking methods based on data association convert multi-target tracking problems into single-target tracking problems.
Jin Tao +5 more
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IPDA filters in the sense of Gaussian mixture PHD algorithm [PDF]
Scientific Technical Review, 2016 The Integrated Probabilistic Data Association (IPDA) type filters provide estimates of the underlying target probability of existence as well as they track state maintenance. For each scan, IPDA recursive calculates the probability of target existence in
Radosavljević Zvonko
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Improved Multitarget Tracking in Clutter Using Bearings-Only Measurements
Sensors, 2018 Multitarget tracking in clutter using bearings-only measurements is a challenging problem. In this paper, a performance improved nonlinear filter is proposed on the basis of the Random Finite Set (RFS) theory and is named as Gaussian mixture measurements-
Yifang Shi +3 more
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Adaptive Multi-target Tracking Algorithm with Unknown Detection Probability [PDF]
Jisuanji gongcheng, 2017 In order to accurately model the system detection probability in a complex background,a Multi-Target Tracking(MTT) method with unknown detection probability is proposed.The detection probability is modeled by the Time Varying AutoRegressive(TVAR) process.
LIU Jun,YUAN Peiyan,QIU Hao
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