Customizable FPGA-based hardware accelerator for standard convolution processes empowered with quantization applied to LiDAR data

In recent years there has been an increase in the number of research and developments in deep learning solutions for object detection applied to driverless vehicles. This application benefited from the growing trend felt in innovative perception solutions, such as LiDAR sensors. Currently, this is t...

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Bibliographic Details
Main Author: Silva, João Pedro Duarte (author)
Other Authors: Pereira, Pedro Miguel Coelho (author), Machado, Rui (author), Névoa, Rafael (author), Melo-Pinto, Pedro (author), Fernandes, Duarte (author)
Format: article
Language:eng
Published: 2022
Subjects:
convolutional neural network (CNN)
hardware accelerator
field-programmable gate array (FPGA)
light detection and ranging (LiDAR)
quantization
object detection
Ciências Naturais::Ciências da Computação e da Informação
Science & Technology
Online Access:https://hdl.handle.net/1822/79802
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/79802

Internet

https://hdl.handle.net/1822/79802

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