Hybrid Sensing and Behavior-Aware in Pedestrian Hazard Detection

被引：0

作者：

Kim, Svetlana ^{[1
]}

Yoon, YongIk ^{[1
]}

机构：

[1] Sookmyung Womens Univ, Dept IT Engn, Chungpa Dong 2 Ga, Seoul 140742, South Korea

来源：

ADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING | 2018年 / 474卷

关键词：

Hybrid sensing; Sensor data collection; Sensor fusion; Behavior aware; FUSION;

D O I：

10.1007/978-981-10-7605-3_178

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The advances in multiple types of sensing technology, wireless communication, and context-aware services increase interest in the design and development of pedestrian behavior for hazard detection. This paper focuses on research of the hybrid sensing fusion approach that identifies behavior activities and provides behavior-aware alerts for safety to pedestrians. Hybrid sensing techniques use to integrate data gathered from several sensors and increase the reliability of the algorithm for identifying various activities. The main purpose of this paper is to present the overview of hybrid sensing and behavior-aware to apply for the pedestrian hazard detection.

引用

页码：1114 / 1120

页数：7

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