Research on the Positioning Performance of GNSS with a Low-Cost Choke Ring Antenna

Rykała, Łukasz; Rubiec, Arkadiusz; Przybysz, Mirosław; Krogul, Piotr; Cieślik, K.; Muszyński, T.; Rykała, Magdalena

doi:10.3390/app13021007

Cited by 5 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This makes it possible to record the vehicle's path during the trip. Since GNSS (a functional extension of GPS) is a commonly used system for locating and analyzing the movement of vehicles, it is extremely important to determine its accuracy [36,37].…”

Section: Methodsmentioning

confidence: 99%

Modeling Vehicle Fuel Consumption Using a Low-Cost OBD-II Interface

Rykała,

Grzelak,

Rykała

et al. 2023

Energies

Self Cite

View full text Add to dashboard Cite

As a result of ever-growing energy demands, motor vehicles are among the largest contributors to overall energy consumption. This has led researchers to focus on fuel consumption, which has important implications for the environment, the economy, and geopolitical stability. This article presents a comprehensive analysis of various fuel consumption modeling methods, with the aim of identifying parameters that significantly influence fuel consumption. The scientific novelty of this article lies in its use of low-cost technology, i.e., an OBD-II interface paired with a mobile phone, combined with modern mathematical modeling methods to create an accurate model of the fuel consumption of a vehicle. A vehicle test drive was performed, during which variations in selected parameters were recorded. Based on the obtained data, a model of the vehicle’s fuel consumption was built using three forecasting methods: a multivariate regression model, decision trees, and neural networks. The results show that the multivariate regression model obtained the lowest MSE, MAR, and MRSE coefficients, indicating that this was the best forecasting method among those tested. Sufficient forecast error results were obtained using neural networks, with increases of approximately 73%, 10%, and 131% in MSE, MAE, and MRAE, respectively, compared to regression results. The worst results were obtained with the decision tree model, with increases of approximately 163%, 21%, and 92% in MSE, MAE, and MRAE compared to the regression results.

show abstract

Section: Methodsmentioning

confidence: 99%

Modeling Vehicle Fuel Consumption Using a Low-Cost OBD-II Interface

Rykała,

Grzelak,

Rykała

et al. 2023

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…Cars, for instance, travel on a known road where familiar and defined objects appear (other vehicles, horizontal and vertical road signs, etc. ), and a GNSS signal is typically available, which, supported by RTK corrections, ensures high location accuracy [33]. On the other hand, industrial robots usually perform tasks in industrial halls where every object in their working field can be defined.…”

Section: Introductionmentioning

confidence: 99%

Study on the Influence of an UGV Suspension System on Camera Motion of the Teleoperation System

Rubiec,

Przybysz,

Łopatka

et al. 2024

PAR

View full text Add to dashboard Cite

In the following article, the results of a study on the impact of the suspension system used in Unmanned Ground Vehicles (UGVs) on the kinematic excitation of cameras in teleoperation systems are presented. As indicated by preliminary reconnaissance studies, these excitations significantly affect the operator’s ability to perceive the environment and recognize images while driving. Currently, there is a lack of publications and guidelines in the literature regarding the design of UGV suspensions and their evaluation in terms of improving operator perception in teleoperation systems. The studies were conducted in a simulated environment using multibody systems, where various suspension structure variants were developed. The tests were carried out on the ISO 5008 rough test track. The evaluation of the tested suspension structures was carried out using a proprietary method, enabling parametric analysis and the selection of favorable solutions for improving image recognition by the UGV operator. Future research can focus on adjustment of the UGV suspension characteristics which could have significant influence on situational awareness and the operator’s ability to act effectively, especially during dynamic missions.

show abstract

GNSS Pseudorange Correction Using Machine Learning in Urban Areas

Cheng,

Sun

2024

Navigation: Science and Technology

View full text Add to dashboard Cite

Research on the Positioning Performance of GNSS with a Low-Cost Choke Ring Antenna

Cited by 5 publications

References 18 publications

Modeling Vehicle Fuel Consumption Using a Low-Cost OBD-II Interface

Modeling Vehicle Fuel Consumption Using a Low-Cost OBD-II Interface

Study on the Influence of an UGV Suspension System on Camera Motion of the Teleoperation System

GNSS Pseudorange Correction Using Machine Learning in Urban Areas

Contact Info

Product

Resources

About