Cargando…
An End-to-End Deep Neural Network for Autonomous Driving Designed for Embedded Automotive Platforms
In this paper, one solution for an end-to-end deep neural network for autonomous driving is presented. The main objective of our work was to achieve autonomous driving with a light deep neural network suitable for deployment on embedded automotive platforms. There are several end-to-end deep neural...
Autores principales: | Kocić, Jelena, Jovičić, Nenad, Drndarević, Vujo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539483/ https://www.ncbi.nlm.nih.gov/pubmed/31058820 http://dx.doi.org/10.3390/s19092064 |
Ejemplares similares
-
End-to-End Autonomous Exploration with Deep Reinforcement Learning and Intrinsic Motivation
por: Ruan, Xiaogang, et al.
Publicado: (2021) -
Experimental Study of LoRa Transmission over Seawater
por: Jovalekic, Nikola, et al.
Publicado: (2018) -
End-to-End Retinex-Based Illumination Attention Low-Light Enhancement Network for Autonomous Driving at Night
por: Zhao, Ruini, et al.
Publicado: (2022) -
Automotive mechatronics: automotive networking, driving stability systems, electronics
por: Reif, Konrad
Publicado: (2015) -
Remote sensing image description based on word embedding and end-to-end deep learning
por: Wang, Yuan, et al.
Publicado: (2021)