Influence of Environmental Factors on the Accuracy of the Ultrasonic Rangefinder in a Mobile Robotic Technical Vision System DOI Open Access
Andrii Rudyk, Andriy Semenov, Serhii Baraban

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(7), P. 1393 - 1393

Published: March 30, 2025

The accuracy of ultrasonic rangefinders is crucial for mobile robotic navigation systems, yet environmental factors such as temperature, humidity, atmospheric pressure, and wind conditions can influence speed in the air. primary objective to investigate how output signal an emitter develop a method improving distance measurements both outdoor indoor settings. research employs combination theoretical modeling, statistical analysis, experimental validation. rangefinder integrated with sensors (BME280, Bosch Sensortec GmbH, Kusterdingen, Germany) (WMT700, WINDCAP®, Vaisala Oyj, Vantaa, Finland) account influences. Experimental studies were conducted using prototype rangefinder, analysis (Student’s t-test) was performed on collected data. results estimation by Student’s t-test 256 demonstrate maximum effect air temperature minimum relative humidity piezoelectric outdoors indoors. In addition, parameters affect rangefinder’s operation. range obstacle detection depends reflection coefficient material that covers obstacle. align expectations highly reflective surfaces. A cascade-forward artificial neural network model developed refine estimations. This study demonstrates importance considering systems robots. By integrating be significantly improved. contribute development more reliable robots operating diverse environments.

Language: Английский

Study on Fluctuating Wind Characteristics and Non-Stationarity at U-Shaped Canyon Bridge Site DOI Creative Commons
Zhe Sun, Zhong Zou, Jiaying Wang

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1482 - 1482

Published: Jan. 31, 2025

To investigate the non-stationary characteristics of wind field at U-shaped canyon bridge site and its impact on fluctuating characteristics, a observation tower was installed near cable-stayed bridge. The Augmented Dickey–Fuller (ADF) test employed to assess stationarity speed series, while discrete wavelet transform (DWT) applied reconstruct time-varying mean analyze effect characteristics. Results indicate that speeds in this region exhibit bimodal distribution with Weibull-Gamma mixed model providing best fit. proportion samples increases height. Autocorrelation function (ACF), partial autocorrelation (PACF) tests, power spectral density (PSD) analysis determined optimal decomposition level for region. Analysis using db10 reconstruction reveals stationary overestimates turbulence intensity but underestimates integral scale. downwind spectrum deviates from Kaimal both low- high-frequency bands, whereas vertical aligns well Panofsky spectrum. findings demonstrate method more accurately captures under complex terrain conditions area.

Language: Английский

Citations

0
Influence of Environmental Factors on the Accuracy of the Ultrasonic Rangefinder in a Mobile Robotic Technical Vision System DOI Open Access
Andrii Rudyk, Andriy Semenov, Serhii Baraban

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(7), P. 1393 - 1393

Published: March 30, 2025

The accuracy of ultrasonic rangefinders is crucial for mobile robotic navigation systems, yet environmental factors such as temperature, humidity, atmospheric pressure, and wind conditions can influence speed in the air. primary objective to investigate how output signal an emitter develop a method improving distance measurements both outdoor indoor settings. research employs combination theoretical modeling, statistical analysis, experimental validation. rangefinder integrated with sensors (BME280, Bosch Sensortec GmbH, Kusterdingen, Germany) (WMT700, WINDCAP®, Vaisala Oyj, Vantaa, Finland) account influences. Experimental studies were conducted using prototype rangefinder, analysis (Student’s t-test) was performed on collected data. results estimation by Student’s t-test 256 demonstrate maximum effect air temperature minimum relative humidity piezoelectric outdoors indoors. In addition, parameters affect rangefinder’s operation. range obstacle detection depends reflection coefficient material that covers obstacle. align expectations highly reflective surfaces. A cascade-forward artificial neural network model developed refine estimations. This study demonstrates importance considering systems robots. By integrating be significantly improved. contribute development more reliable robots operating diverse environments.

Language: Английский

Citations

0