Cargando…
A Deep Learning Framework for Accurate Vehicle Yaw Angle Estimation from a Monocular Camera Based on Part Arrangement
An accurate object pose is essential to assess its state and predict its movements. In recent years, scholars have often predicted object poses by matching an image with a virtual 3D model or by regressing the six-degree-of-freedom pose of the target directly from the pixel data via deep learning me...
Autores principales: | Huang, Wenjun, Li, Wenbo, Tang, Luqi, Zhu, Xiaoming, Zou, Bin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607309/ https://www.ncbi.nlm.nih.gov/pubmed/36298375 http://dx.doi.org/10.3390/s22208027 |
Ejemplares similares
-
Accurate and Robust Monocular SLAM with Omnidirectional Cameras
por: Liu, Shuoyuan, et al.
Publicado: (2019) -
Farm Vehicle Following Distance Estimation Using Deep Learning and Monocular Camera Images
por: Arabi, Saeed, et al.
Publicado: (2022) -
Mapping with Monocular Camera Sensor under Adversarial Illumination for Intelligent Vehicles
por: Tian, Wei, et al.
Publicado: (2023) -
Monocular Camera/IMU/GNSS Integration for Ground Vehicle Navigation in Challenging GNSS Environments
por: Chu, Tianxing, et al.
Publicado: (2012) -
Design of a Robust System Architecture for Tracking Vehicle on Highway Based on Monocular Camera
por: Wu, Zhihong, et al.
Publicado: (2022)