Cargando…
Radar sensor based machine learning approach for precise vehicle position estimation
Estimating vehicles’ position precisely is essential in Vehicular Adhoc Networks (VANETs) for their safe, autonomous, and reliable operation. The conventional approaches used for vehicles’ position estimation, like Global Positioning System (GPS) and Global Navigation Satellite System (GNSS), pose s...
Autores principales: | Sohail, Muhammad, Khan, Abd Ullah, Sandhu, Moid, Shoukat, Ijaz Ali, Jafri, Mohsin, Shin, Hyundong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449844/ https://www.ncbi.nlm.nih.gov/pubmed/37620615 http://dx.doi.org/10.1038/s41598-023-40961-5 |
Ejemplares similares
-
Comparison of Adaptive Spectral Estimation for Vehicle Speed Measurement with Radar Sensors
por: Mohd Shariff, Khairul Khaizi, et al.
Publicado: (2017) -
Machine Learning Models for Enhanced Estimation of Soil Moisture Using Wideband Radar Sensor
por: Uthayakumar, Akileshwaran, et al.
Publicado: (2022) -
Machine Learning-Based Human Recognition Scheme Using a Doppler Radar Sensor for In-Vehicle Applications
por: Hyun, Eugin, et al.
Publicado: (2020) -
Doppler-Spectrum Feature-Based Human–Vehicle Classification Scheme Using Machine Learning for an FMCW Radar Sensor
por: Hyun, Eugin, et al.
Publicado: (2020) -
An Improved Performance Radar Sensor for K-Band Automotive Radars
por: Abd El-Hameed, Anwer S., et al.
Publicado: (2023)