Print Email Facebook Twitter Human presence detection using a particle filter on ultrasonic micro-Doppler measurements for assisting rescue work in large buildings Title Human presence detection using a particle filter on ultrasonic micro-Doppler measurements for assisting rescue work in large buildings Author van Groeningen, Tom (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Söhl, Jakob (mentor) Voûte, Robert (mentor) Driessen, Hans (graduation committee) Jongbloed, Geurt (graduation committee) Degree granting institution Delft University of Technology Programme Applied Mathematics Date 2018-07-06 Abstract When the re brigade arrives at a burning building, it is of vital importance that people who are still inside can quickly be found. In this thesis we contribute to an ultrasonic sound sensor for human presence detection in smoke-lled spaces. This type of sensor could assist the re brigade when evacuating a large building by directing them to the places where their help is most needed. The advantage of ultrasonic sound over other sensors or cameras is that its signal is able to pierce through smoke, does not require badges or other wearable devices and introduces little privacy and security risks. In addition, ultrasonic sensors are very inexpensive making it possible to equip every room of a building with an ultrasonic presence detector. In this research an ultrasonic sensor was built for less than 20 Euros and it was found to be unaected by the glycerine based smoke that it was tested in. Using a particle filter based on sequential importance resampling as well as a Filter based on Gaussian approximation of the posterior density the resulting system was reliably able to detect when there was a single person walking in the sensor direction, even when other sources of movement such as doors and chairs were present. Subject micro dopplerparticle filterGaussian approximation To reference this document use: http://resolver.tudelft.nl/uuid:467ea25a-e5f3-47e6-857b-3e0510ff52de Part of collection Student theses Document type master thesis Rights © 2018 Tom van Groeningen Files PDF thesis_final_24_06_2018.pdf 10.08 MB Close viewer /islandora/object/uuid:467ea25a-e5f3-47e6-857b-3e0510ff52de/datastream/OBJ/view