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FPGA Frontend for Highly Efficient Automotive LIDAR Perception

Authors:
Sanaz Asgarifar
Pedro Barbosa
Amir Farzamiyan
Marcelo Alvez
Alexandre Correia
João Ferreira

Keywords: Automotive driving; Field Programmable Gate Array (FPGA); Light Detection and Ranging (LIDAR); Road perception; Artificial Intelligence (AI)

Abstract:
This paper briefly presents the recent progress on automotive perception and the corresponding hardware implementation for the emerging application of autonomous driving systems. The requirements for an automotive road perception algorithm are presented. An FPGA based design for creating custom implementation of road perception are discussed to form an efficient hardware platform for real-time purpose. A special attention is given to determining the efficiency of hardware implementation in terms of speed and power consumption. Finally, the technical challenges are presented to motivate future research and development in this field.

Pages: 40 to 42

Copyright: Copyright (c) IARIA, 2022

Publication date: May 22, 2022

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-966-9

Location: Venice, Italy

Dates: from May 22, 2022 to May 26, 2022