… search and rescue solution that leverages the high penetration rate of mobile phones in the
society to localize … State-of-the-art localization solutions for disaster scenarios rely either on …

… Localization is improved in this study by implementing a Naïve Bayes classifier for localization
in between the measured points statistically and in disaster situation where some of the …

… phones in search and rescue scenarios. The focus lies here on localization of people … this
project shows that about 80% of buried victims carry their mobile phones with them. Of course …

… The search for disaster victims carried out by search-and-rescue (SAR) team … search team
and the victim. Based on this problem, we conducted research to assist disaster victim search. …

… to locate victims in a simulated urban search and rescue. The … thermal and wireless to generate
victim-location maps which … -up the search mission of locating victim. The proposed multi-…

… for bounding box localization and victim body part classification, … With respect to the five
scalar values, four are for localization … on the grid cell containing a victim body part. The four …

… One of the most challenging task for USAR groups is the localization of victims that are still
… victim localization is, the more likely the victim might still be rescued. Another challenge is to …

… A common problem in existing Search And Rescue (sar) systems is that they must be …
Furthermore, most of the localization systems require specialized hardware. In this thesis, the victim …

… search and rescue (eg precise localization of the victim) once the presence of a structured
signal is detected. To aid the joint flight-planning and detection process, a simulation tool has …

… localizing victims, to have higher accuracy in the localization process, and to implement a
new protocol that is more stable and faster between the first responder services and the drones…