Pedestrian Indoor Localization Using IoT Sensors RSSI Signal Strength Measurement

Pedestrian indoor localization can improve safety within various hazardous environments or increase a living standard in high density urban environment. The paper address the pedestrian localization in hazardous industrial indoor environment and develop an approach to be able to localize person within range of sub-meter accuracy. Thus we can detect the presence of an operator in forbidden or danger zone and the possible injury or death can be avoided. Our approach is based on RSSI signal strength measurements of IQRF sensors and we uses a particle filters for localization. We have found that our results exceeded our expectations and we are able to localize each person with required accuracy.