An Optimized DNN Model for Real-Time Inferencing on an Embedded Device

For many automotive functionalities in Advanced Driver Assist Systems (ADAS) and Autonomous Driving (AD), target objects are detected using state-of-the-art Deep Neural Network (DNN) technologies. However, the main challenge of recent DNN-based object detection is that it requires high computational...

Descripción completa

Detalles Bibliográficos
Autores principales: Park, Jungme, Aryal, Pawan, Mandumula, Sai Rithvick, Asolkar, Ritwik Prasad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142959/
https://www.ncbi.nlm.nih.gov/pubmed/37112333
http://dx.doi.org/10.3390/s23083992

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142959/
https://www.ncbi.nlm.nih.gov/pubmed/37112333
http://dx.doi.org/10.3390/s23083992

Ejemplares similares