Suchergebnisse - smoothing joint measurement‐to‐track association algorithm

Extended smoothing joint data association for multi‐target tracking in cluttered environments.

Autoren: Memon, Sufyan Ali Kim, Myunggun Shin, Minho et al.

Quelle: IET Radar, Sonar & Navigation (Wiley-Blackwell). Apr2020, Vol. 14 Issue 4, p564-571. 8p.

Schlagwörter: *MULTIPLE target tracking, *TRACKING radar, *STATISTICAL smoothing, *TRACKING algorithms, *PERFORMANCE theory

Smoothing joint integrated probabilistic data association.

Autoren: Kim, Tae Han Mušicki, Darko Song, Taek Lyul et al.

Quelle: IET Radar, Sonar & Navigation (Wiley-Blackwell); Jan2015, Vol. 9 Issue 1, p62-66, 5p

Schlagwörter: STATISTICAL smoothing, TRACKING algorithms, ALGORITHMS, FORECASTING, PROBABILITY theory

Multi-target multi-scan smoothing in clutter.

Autoren: Tae Han Kim Taek Lyul Song

Quelle: IET Radar, Sonar & Navigation (Wiley-Blackwell); 2016, Vol. 10 Issue 7, p1270-1276, 7p

Schlagwörter: TRACKING radar, TARGET acquisition, CLUTTER (Radar), STATISTICAL smoothing, RADAR defense networks

Multi‐target multi‐scan smoothing in clutter.

Autoren: Kim, Tae Han Song, Taek Lyul

Quelle: IET Radar, Sonar & Navigation (Wiley-Blackwell); Aug2016, Vol. 10 Issue 7, p1270-1276, 7p

Schlagwörter: ALGORITHMS, PROBABILITY theory, DETECTORS

HDT network: A high‐resolution range profile multi‐target detection and tracking method based on neural network.

Autoren: Sun, Lin Liu, Huawei Wang, Chaoyi et al.

Quelle: IET Radar, Sonar & Navigation (Wiley-Blackwell); Sep2023, Vol. 17 Issue 9, p1430-1440, 11p

Schlagwörter: DEEP learning, CONVOLUTIONAL neural networks, RADAR targets, MULTIPLE target tracking, TRACKING algorithms, SIGNAL processing

Multi‐scan smoothing for tracking manoeuvering target trajectory in heavy cluttered environment.

Autoren: Memon, Sufyan Son, Hungsun Memon, Kashif Hussain et al.

Quelle: IET Radar, Sonar & Navigation (Wiley-Blackwell); Dec2017, Vol. 11 Issue 12, p1815-1821, 7p

Schlagwörter: STATISTICAL smoothing, TRACKING algorithms, AUTOMATIC tracking, VIDEO surveillance, MULTISENSOR data fusion

Smoothing Linear Multi-Target Tracking Using Integrated Track Splitting Filter

Autoren: Sufyan Ali Memon Ihsan Ullah Uzair Khan et al.

Quelle: Remote Sensing, Vol 14, Iss 1289, p 1289 (2022)

Schlagwörter: detection, estimation, false-track discrimination (FTD), linear multi-target (LM) tracking, smoothing, radar, Science

Relation: https://www.mdpi.com/2072-4292/14/5/1289; https://doaj.org/toc/2072-4292; https://doaj.org/article/7d27fb21b6204a62883dc9418e0200b1

Verfügbarkeit: https://doi.org/10.3390/rs14051289
https://doaj.org/article/7d27fb21b6204a62883dc9418e0200b1

Multihypothesis Viterbi Data Association: Algorithm Development and Assessment.

Autoren: PULFORD, G. W. LA SCALA, B. F.

Quelle: IEEE Transactions on Aerospace & Electronic Systems; Apr2010, Vol. 46 Issue 2, p583-609, 27p

Schlagwörter: AUTOMATIC tracking, ALGORITHMS, MATHEMATICAL optimization, DYNAMIC programming, COMPUTER simulation

Online clutter estimation using a Gaussian kernel density estimator for multitarget tracking.

Autoren: Chen, Xin Tharmarasa, Ratnasingham Kirubarajan, Thia et al.

Quelle: IET Radar, Sonar & Navigation (Wiley-Blackwell); Jan2015, Vol. 9 Issue 1, p1-9, 9p

Schlagwörter: PROBABILITY density function, POISSON processes, MAXIMUM likelihood statistics, FALSE alarms, TRACKING algorithms

Joint integrated track splitting for multi-path multi-target tracking using OTHR detections.

Autoren: Huang, Yuan Song, Taek Lyul Lee, Joo Hyun

Quelle: EURASIP Journal on Advances in Signal Processing; 9/20/2018, Vol. 2018 Issue 1, p1-1, 1p

Schlagwörter: OVER-the-horizon radar, TRACKING & trailing

Modified Smoothing Algorithm for Tracking Multiple Maneuvering Targets in Clutter.

Autoren: Memon, Sufyan Ali Park, Min-Seuk Memon, Imran et al.

Quelle: Sensors (14248220); Jul2022, Vol. 22 Issue 13, p4759-N.PAG, 16p

Schlagwörter: TRACKING algorithms, KALMAN filtering, MULTIPLE target tracking, MONTE Carlo method, COMPUTATIONAL complexity

A New Association Approach for Multi-Sensor Air Traffic Surveillance Data Based on Deep Neural Networks.

Autoren: Vico Navarro, Joaquin Balbastre Tejedor, Juan Vicente Vila Carbó, Juan Antonio

Quelle: Sensors (14248220); Feb2025, Vol. 25 Issue 3, p931, 23p

Schlagwörter: ARTIFICIAL neural networks, TRAFFIC monitoring, AIRSPACE (Law), DRONE aircraft, ELECTRONIC data processing, AIR traffic

Advanced algorithms for UAV tracking of targets exhibiting start-stop and irregular motion.

Autoren: Nishad, Dinesh Kumar Khalid, Saifullah Prakash, Dharmendra et al.

Quelle: Scientific Reports; 8/20/2025, Vol. 15 Issue 1, p1-36, 36p

Schlagwörter: ALGORITHMS, ADAPTIVE filters, MOTION analysis, DEEP learning, AERIAL surveillance, ROBUST control, MATHEMATICS, CHAOS theory

Advanced Signal Processing and Modeling Techniques for Automotive Radar: Challenges and Innovations in ADAS Applications.

Autoren: Biswas, Pallabi Sur, Samarendra Nath Bera, Rabindranath et al.

Quelle: Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 144 Issue 1, p83-146, 64p

Schlagwörter: SIGNAL processing, DRIVER assistance systems, DIRECTION of arrival estimation, AUTOMATIC target recognition, TRAFFIC safety, ROAD vehicle radar, TRACKING algorithms, MACHINE learning

Distributed Cognitive Positioning System Based on Nearest Neighbor Association and Multi-Point Filter Initiation for UAVs Using DTMB and INS.

Autoren: Zha, Li Zhang, Hai Wang, Na et al.

Quelle: Drones (2504-446X); Feb2025, Vol. 9 Issue 2, p130, 23p

A modified multi-target tracking algorithm based on joint probability data association and Gaussian particle filter.

Autoren: Wang Yuhuan Wang Jinkuan Wang Bin

Quelle: Proceeding of the 11th World Congress on Intelligent Control & Automation; 2014, p2500-2504, 5p

A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization.

Autoren: Rahmathullah, Abu Sajana Selvan, Raghavendra Svensson, Lennart

Quelle: IEEE Transactions on Signal Processing; Sep2016, Vol. 64 Issue 18, p4792-4804, 13p

Schlagwörter: AUTOMATIC tracking, CLUTTER (Radar), SIGNAL processing, ALGORITHMS, COMPUTATIONAL complexity

A Parallel Retrodiction Algorithm for Large-Scale Multitarget Tracking.

Autoren: Yeung, Siu Lun Tager, Sean Wilson, Paul et al.

Quelle: IEEE Transactions on Aerospace & Electronic Systems; Feb2021, Vol. 57 Issue 1, p5-21, 17p

Schlagwörter: PARALLEL algorithms, REAL numbers, MULTICORE processors, ARTIFICIAL satellite tracking, FORD F-Series trucks, KALMAN filtering

A Multi-Stage Vessel Tracklet Association Method for Compact High-Frequency Surface Wave Radar.

Autoren: Sun, Weifeng Pang, Zhenzhen Huang, Weimin et al.

Quelle: Remote Sensing; Apr2022, Vol. 14 Issue 7, p1601, 18p

Schlagwörter: RADAR, TRACKING algorithms, RECEIVING antennas, ANTENNA arrays, K-means clustering, KALMAN filtering, WATER currents, ROUGH sets

Smoothing Linear Multi-Target Tracking Using Integrated Track Splitting Filter.

Autoren: Memon, Sufyan Ali Ullah, Ihsan Khan, Uzair et al.

Quelle: Remote Sensing; Mar2022, Vol. 14 Issue 5, pN.PAG-N.PAG, 1p

Schlagwörter: TRACKING radar, MONTE Carlo method, ARTIFICIAL satellite tracking, COMPUTATIONAL complexity