Earticle

초록

영어

Congestion avoidance in emergencies is one of many overlooked localization issues. During an emergency (such as a fire), it is difficult for rescuers to determine the best exit route when inside a building. Any time delay during decision making can risk loss of life. Therefore, an efficient Emergency Rescue Localization (ERL) system is essential to assist rescuers to identify the best route for reaching the outside when inside a building. Thus, we propose a new ERL based on an Inertial Measurement Unit (IMU). In the proposed ERL, an IMU is used to retrieve location information from inside the building. To conclude, we illustrate out proposed solution for indoor environmental set-up.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Problem Formulation
 4. Assumption
 5. Objective
 6. System Design
  6.1. Pre-Processing
  6.2. Adaptive Rao-Blackwellized Particle Filter
 7. Conclusions and Future Directions
 References

키워드

저자

• Wan Mohd Yaakob Wan Bejuri [ Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka ]
• Mohd Murtadha Mohamad [ Faculty of Computing, Universiti Teknologi Malaysia ]
• Raja Zahilah Raja Mohd Radzi [ Faculty of Computing, Universiti Teknologi Malaysia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605