Gaussian process based motion pattern recognition with sequential local models

M Tiger, F Heintz - 2018 IEEE Intelligent Vehicles Symposium …, 2018 - ieeexplore.ieee.org
Conventional trajectory-based vehicular traffic analysis approaches work well in simple
environments such as a single crossing but they do not scale to more structurally complex …

Gaussian Process Regression-based GPS Variance Estimation and Trajectory Forecasting

L Kortesalmi - 2018 - diva-portal.org
Spatio-temporal data is a commonly used source of information. Using machine learning to
analyse this kind of data can lead to many interesting and useful insights. In this thesis …

Modeling RTK-GNSS Trajectory Data using Sparse Gaussian Process Models

RS Nahar, KM Ng, FHK Zaman… - 2022 IEEE 18th …, 2022 - ieeexplore.ieee.org
The Gaussian process regression (GPR) has been applied to model trajectory points from
Global Navigation Satellite System (GNSS). Trajectory modeling using GP in previous works …

Conceptual framework for the analysis and modeling of GNSS measurements based on Gaussian process

RS Nahar, KM Ng, N Abdul Razak… - Journal of Electrical and …, 2021 - ir.uitm.edu.my
The Global Navigation Satellite Systems (GNSS) have been used in autonomous vehicles
and remote sensing. The GNSS receiver can be a conventional device or an enhanced …

[PDF][PDF] PhD Research Project Extended Abstract Spatio-Temporal Learning, Reasoning and Decision-Making with Robot Safety Applications

M Tiger, F Heintz - ida.liu.se
Cyber-physical systems such as robots and intelligent transportation systems are heavy
producers and consumers of trajectory data. Making sense of this data and putting it to good …

Linköping Humanoids: Application RoboCup 2017 Standard Platform League

F Heintz, F Löfgren - RoboCup 2017 Standard Platform League, 25th …, 2017 - diva-portal.org
Linkoping Humanoids – Application RoboCup 2017 Standard Platform League Page 1
QUALIFICATION DOCUMENT FOR ROBOCUP 2017 STANDARD PLATFORM LEAGUE 1 …