Digital VLSI Implementation of a Moving Object Detection Algorithm Based on Neuronal Propagation in the Hippocampus

Haichao Liang, Hiroyuki Nakayama, Takashi Morie, H. Hayashi
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引用次数: 2

Abstract

In this paper, we propose a moving object detection algorithm for the advanced driver assistance system (ADAS) and its digital VLSI implementation. The algorithm is based on parallel processing inspired by neuronal propagation underlying sequence coding in a model of the hippocampus. We have implemented this algorithm on an FPGA, and have verified the desired operation: detection of the velocity and direction of moving objects at real time
基于海马神经元繁殖的运动目标检测算法的数字VLSI实现
在本文中,我们提出了一种用于高级驾驶辅助系统(ADAS)的运动目标检测算法及其数字VLSI实现。该算法基于并行处理,灵感来自于海马模型中潜在序列编码的神经元传播。我们已经在FPGA上实现了该算法,并验证了期望的操作:实时检测运动物体的速度和方向
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