Cargando…
Data-Driven Object Vehicle Estimation by Radar Accuracy Modeling with Weighted Interpolation †
For accurate object vehicle estimation using radar, there are two fundamental problems: measurement uncertainties in calculating an object’s position with a virtual polygon box and latency due to commercial radar tracking algorithms. We present a data-driven object vehicle estimation scheme to solve...
Autores principales: | Choi, Woo Young, Yang, Jin Ho, Chung, Chung Choo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037990/ https://www.ncbi.nlm.nih.gov/pubmed/33810366 http://dx.doi.org/10.3390/s21072317 |
Ejemplares similares
-
Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars
por: Lee, Seongwook, et al.
Publicado: (2019) -
Iterative High-Accuracy Parameter Estimation of Uncooperative OFDM-LFM Radar Signals Based on FrFT and Fractional Autocorrelation Interpolation
por: Liu, Yifei, et al.
Publicado: (2018) -
High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking Methods
por: Narcizo, Fabricio Batista, et al.
Publicado: (2021) -
Comparison of Adaptive Spectral Estimation for Vehicle Speed Measurement with Radar Sensors
por: Mohd Shariff, Khairul Khaizi, et al.
Publicado: (2017) -
Data-driven multi-objective optimization for electric vehicle charging infrastructure
por: Farhadi, Farzaneh, et al.
Publicado: (2023)