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Badminton Flight Trajectory Location and Tracking Algorithm Based on Particle Filter
In order to meet the accuracy requirements of badminton robot, a badminton flight trajectory location and tracking algorithm based on particle filter...
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An interpretable machine learning model for trajectory prediction based on nonlinear dynamics mechanism constraints: applications for HVs
It is challenging for hypersonic vehicles (HVs) with strong nonlinear dynamics characteristics to achieve high-precision trajectory prediction. The...
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Gait reference trajectory generation at different walking speeds using LSTM and CNN
Rehabilitation robots are gaining significant popularity for impaired gait rehabilitation. However, to make the recovering individual feel natural...
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A Data Publishing Method for Trajectory Privacy Classification Based on Differential Privacy
The traditional privacy protection method of trajectory data release protects the whole trajectory to the same degree, resulting in an unjustifiable...
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Ground-based 4d trajectory prediction using bi-directional LSTM networks
Accurate aircraft trajectory prediction in the ground based system remains one of the most challenging prediction problems in air traffic management....
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Trajectory-based recognition of in-air handwritten Assamese words using a hybrid classifier network
In-air handwriting is a rapidly emerging human–machine interactive paradigm that helps users to write and communicate naturally and intuitively in...
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Complex Handwriting Trajectory Recovery: Evaluation Metrics and Algorithm
Many important tasks such as forensic signature verification, calligraphy synthesis, etc., rely on handwriting trajectory recovery of which, however,...
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Emotion Trajectory and Student Performance in Engineering Education: A Preliminary Study
In this study, we aim to establish the connection between the emotional trajectory of students during a pedagogical sequence and their performances....
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Differential-Privacy Preserving Trajectory Data Publishing for Road Networks
In the sharing of user trajectory data of road networks, privacy leakage emerges to be a major concern because attackers may make aggressive...
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S-CGRU: An Efficient Model for Pedestrian Trajectory Prediction
In the development of autonomous driving systems, pedestrian trajectory prediction plays a crucial role. Existing models still face some challenges...
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Graph Neural Network with RNNs based trajectory prediction of dynamic agents for autonomous vehicle
Trajectory prediction is an essential ability for the intelligent transportation system to navigate through complex traffic scenes. In recent times,...
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PaTraS: A Path-Preserving Trajectory Simplification Method for Low-Loss Map Matching
Massive and redundant vehicle trajectory data is being accumulated and recorded at an unprecedented speed and scale, incurring expensive cost for...
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LRATD: a lightweight real-time abnormal trajectory detection approach for road traffic surveillance
Occasions such as stalled vehicles or crashes led by abnormal trajectories should be instantly identified and then dealt with quickly by the city...
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Optimizing Taxi Route Planning Based on Taxi Trajectory Data Analysis
In daily life, taxis have become one of the most common and convenient ways of public transportation. With the advancement of positioning and...
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Synchronous Monitoring Method of Multi-manipulator Trajectory Signals Based on Machine Learning
The traditional trajectory signal monitoring method uses a combination of sensors and mathematical models to detect the trajectory signal of the...
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Deep Learning-Based Virtual Trajectory Generation Scheme
At present, location based service (LBS) has developed rapidly, it is extensive use in the applications of various intelligent mobile terminals. The...
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A Privacy Preserving Method for Trajectory Data Publishing Based on Geo-Indistinguishability
Trajectory data contains rich space-time information. Analysis and research on it can provide important information for location-based services....
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The Abnormal Detection Method of Ship Trajectory with Adaptive Transformer Model Based on Migration Learning
The traditional modeling method of ship trajectory data is unable to deal with multiple features or ignore the temporal relationship. Moreover, due...
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Trajectory Prediction for SSL Robots Using Seq2seq Neural Networks
The RoboCup Small Size League employs cylindrical robots of 15 cm height and 18 cm diameter. Presently, most teams utilize a Kalman predictor to...
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Parallel grid-based density peak clustering of big trajectory data
With the widespread adoption of data intensive applications such as navigation systems for mobile devices and unmanned vehicles, analyzing trajectory...
