Vehicle Blind Spot Area Detection Using Bluetooth Low Energy and Multilateration

Abstract

Blind spot is the area around the vehicle that cannot be seen by the driver's view even with the help of the rear view mirrors on the vehicle. Therefore a solution is needed to overcome this problem. This study proposes a system that can detect other road users in the blind spot area. This system uses the Bluetooth Low Energy (BLE) module to detect the presence of objects (smartphones) belonging to other road users. Prediction of the distance to the road user is obtained by calculating the RSSI value between the user's smartphone and the detecting BLE module. Meanwhile, the object's position is obtained by using a multilateration algorithm. In this study, the Kalman Filter is also used to suppress the noise obtained during the target detection process. Detection results in the form of user distance and location prediction are displayed on the driver's smartphone screen. Testing the detection of vehicles in a blind spot area in stationary conditions produces an accuracy value of 88.3%.