Cargando…
DNN-Based Estimation for Misalignment State of Automotive Radar Sensor
The reliability and safety of advanced driver assistance systems and autonomous vehicles are highly dependent on the accuracy of automotive sensors such as radar, lidar, and camera. However, these sensors can be misaligned compared to the initial installation state due to external shocks, and it can...
Autores principales: | Kim, Junho, Jeong, Taewon, Lee, Seongwook |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386158/ https://www.ncbi.nlm.nih.gov/pubmed/37514765 http://dx.doi.org/10.3390/s23146472 |
Ejemplares similares
-
Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars
por: Lee, Seongwook, et al.
Publicado: (2019) -
Compressive Sensing-Based SAR Image Reconstruction from Sparse Radar Sensor Data Acquisition in Automotive FMCW Radar System
por: Lee, Seongwook, et al.
Publicado: (2021) -
Contributions to Unsupervised Online Misalignment Detection and Bumper Error Compensation for Automotive Radar †
por: Bobaru, Alexandru, et al.
Publicado: (2023) -
Autoencoder-Based Target Detection in Automotive MIMO FMCW Radar System
por: Kang, Sung-wook, et al.
Publicado: (2022) -
YOLO-Based Simultaneous Target Detection and Classification in Automotive FMCW Radar Systems
por: Kim, Woosuk, et al.
Publicado: (2020)