MiPo: How to Detect Trajectory Outliers with Tabular Outlier Detectors

MiPo: How to Detect Trajectory Outliers with Tabular Outlier Detectors

Trajectory outlier detection is one of the fundamental data mining techniques used to analyze the trajectory data of the Global Positioning System. A comprehensive literature review of trajectory outlier detectors published between 2000 and 2022 led to a conclusion that conventional trajectory outli...

Full description

Bibliographic Details
Main Authors:	Jiawei Yang, Xu Tan, Sylwan Rahardja
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Remote Sensing
Subjects:	middle polar coordinates MiPo anomaly trajectory detection outlier trajectory detection anomalous trajectory detection spatial–temporal data
Online Access:	https://www.mdpi.com/2072-4292/14/21/5394

Similar Items

ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTION
by: Alexis J.LOPEZ, et al.
Published: (2020-06-01)

A trajectory outlier detection method based on variational auto-encoder
by: Longmei Zhang, et al.
Published: (2023-07-01)

Transfer Learning for Region-Wide Trajectory Outlier Detection
by: Yueyang Su, et al.
Published: (2023-01-01)

Outlier Vehicle Trajectory Detection Using Deep Autoencoders in Santiago, Chile
by: Billy Peralta, et al.
Published: (2023-01-01)

An Approach to Outlier Detection and Smoothing Applied to a Trajectography Radar Data
by: Aguinaldo Bezerra Batista Jr., et al.
Published: (2014-09-01)

Outlier Detection of Crowdsourcing Trajectory Data Based on Spatial and Temporal Characterization
by: Xiaoyu Zheng, et al.
Published: (2023-01-01)

Trajectory Outlier Detection on Trajectory Data Streams
by: Keyan Cao, et al.
Published: (2020-01-01)

Trend-Residual Dual Modeling for Detection of Outliers in Low-Cost GPS Trajectories
by: Xiaojian Chen, et al.
Published: (2016-12-01)

A Probabilistic Transformation of Distance-Based Outliers
by: David Muhr, et al.
Published: (2023-07-01)

Trajectory Outlier Detection Algorithm Based on Bi-LSTM Model
by: HAN Zhaorong, et al.
Published: (2019-02-01)

A Trajectory Anomaly Detection based on Similarity Analysis
by: Gerar Francis Quispe Torres, et al.
Published: (2022-05-01)

An Analysis of ML-Based Outlier Detection from Mobile Phone Trajectories
by: Francisco Melo Pereira, et al.
Published: (2022-12-01)

Abnormal Trajectory Detection Based on Geospatial Consistent Modeling
by: Haiquan Wang, et al.
Published: (2020-01-01)

New approaches and technical considerations in detecting outlier measurements and trajectories in longitudinal children growth data
by: Paraskevi Massara, et al.
Published: (2023-10-01)

Detection of outliers in processing of small size data
by: Popukaylo V. S.
Published: (2016-10-01)

Anomalous Indoor Human Trajectory Detection Based on the Transformer Encoder and Self-Organizing Map
by: Doi Thi Lan, et al.
Published: (2023-01-01)

Outlier Detection with Reinforcement Learning for Costly to Verify Data
by: Michiel Nijhuis, et al.
Published: (2023-05-01)

Filtering Link Outliers in Vehicle Trajectories by Spatial Reasoning
by: Junli Liu, et al.
Published: (2021-05-01)

On outlier detection with the Chebyshev type inequalities
by: Michael A. Chepulis, et al.
Published: (2020-12-01)

Detecting Events in Aircraft Trajectories: Rule-Based and Data-Driven Approaches
by: Xavier Olive, et al.
Published: (2020-12-01)

Outliers detection and treatment: a review.
by: Denis Cousineau, et al.
Published: (2010-06-01)

Clustering Moving Object Trajectories: Integration in CROSS-CPP Analytic Toolbox
by: Alberto Blazquez-Herranz, et al.
Published: (2021-04-01)

Comment on “TVOR: Finding Discrete Total Variation Outliers Among Histograms”
by: Melkior Ornik
Published: (2021-01-01)

Detecting Anomalous Trajectories and Behavior Patterns Using Hierarchical Clustering from Taxi GPS Data
by: Yulong Wang, et al.
Published: (2018-01-01)

T2D2: A Time Series Tester, Transformer, and Decomposer Framework for Outlier Detection
by: Abdel Hamid Khattab, et al.
Published: (2023-03-01)

A taxi detour trajectory detection model based on iBAT and DTW algorithm
by: Jian Wan, et al.
Published: (2022-10-01)

Abnormal Ship Behavior Detection Based on AIS Data
by: Yan Shi, et al.
Published: (2022-05-01)

A detection and restoration approach for vessel trajectory anomalies based on AIS
Published: (2021-02-01)

Towards Benchmarking for Evaluating Machine Learning Methods in Detecting Outliers in Process Datasets
by: Thimo F. Schindler, et al.
Published: (2023-12-01)

Vehicle Trajectory Reconstruction Using Lagrange-Interpolation-Based Framework
by: Jizhao Wang, et al.
Published: (2024-01-01)

Detection of anomalous vehicle trajectories using federated learning
by: Christian Koetsier, et al.
Published: (2022-04-01)

An Anomaly Detection Method for AIS Trajectory Based on Kinematic Interpolation
by: Shaoqing Guo, et al.
Published: (2021-06-01)

Abnormal-Trajectory Detection Method Based on Variable Grid Partitioning
by: Chuanming Chen, et al.
Published: (2023-01-01)

Detecting Anomalous Trajectories Using the Dempster-Shafer Evidence Theory Considering Trajectory Features from Taxi GNSS Data
by: Kun Qin, et al.
Published: (2018-10-01)

Grid-Based Vessel Deviation from Route Identification with Unsupervised Learning
by: Nuno Antunes, et al.
Published: (2022-11-01)

Detecting Outliers in Non-IID Data: A Systematic Literature Review
by: Shafaq Siddiqi, et al.
Published: (2023-01-01)

A Framework for Bus Trajectory Extraction and Missing Data Recovery for Data Sampled from the Internet
by: Changfei Tong, et al.
Published: (2017-02-01)

Outlier Detection in the DESI Bright Galaxy Survey
by: Yan Liang, et al.
Published: (2023-01-01)

Finding Clusters and Outliers for Data Sets with Constraints
by: Shi Yong
Published: (2011-04-01)

Outlier Detection in 3D Coordinate Transformation with Fuzzy Logic
by: Yasemin Sisman, et al.
Published: (2012-12-01)