@inproceedings{708e699f1a1443229ab1be129e561e2b,
title = "Architecture Design for Pedestrian Detection Based on Memory Grid Occupancy and Data Reuse",
abstract = "Pedestrian Detection, as an integral component of autonomous driving systems, is directly related to the vehicle safety. However, trapped by the current computing paradigm based on Von Neumann architecture, the traditional design of Pedestrian Detection system faces certain dilemmas in terms of energy consumption and computational efficiency. In this paper, an approach based on Memory Grid Occupancy (MGO) and data reuse is proposed to optimize the computational process of the Pedestrian Detection system. The results of the related work indicate that the proposed optimization design in hardware can reduce the data read/write during the execution of the system.",
keywords = "Computing in memory, Data Reuse, Memory Grid Occupancy, Pedestrian Detection, Position Detection",
author = "Ke Yu and Baek, \{Jang Woo\} and Bobokhon Yusupbaev and Choi, \{Jun Rim\}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2024 ; Conference date: 02-07-2024 Through 05-07-2024",
year = "2024",
doi = "10.1109/ITC-CSCC62988.2024.10628251",
language = "English",
series = "2024 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2024",
address = "United States",
}
