Hybrid Sensing and Behavior-Aware in Pedestrian Hazard Detection
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.
KeywordsHybrid sensing Sensor data collection Sensor fusion Behavior aware
This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (2017-0-00336, Platform Development of Multi-log based Multi-Modal Data Convergence Analysis and Situational Response). This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2016-0-00311) supervised by the IITP(Institute for Information & communications Technology Promotion).
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