RADAR-BASED VEHICLE LOCATION AND NAVIGATION SYSTEM

Abstract

As autonomous vehicles become increasingly popular, their success is dependent on their ability to maintain accurate GPS connection. Without GPS connection, the autonomous vehicle is incapable of navigating around its surroundings. This loss of connection is typical in areas such as parking garages, tunnels, valleys, etc. The vision of this project is to create a GPS free navigation system that can be placed onto vehicles and will create an inferred location of the vehicle following the loss of GPS connection. The inferred location of the vehicle will be determined from the data collected by two ViaSat radar modules and the last known GPS location of the vehicle. Following data collection, the data will be input into MATLAB for postprocessing where an inferred location of the vehicle will be determined. Our team is responsible for packaging all hardware such that it is easily attachable onto a vehicle and generating the software algorithm that calculates the inferred vehicle location during data post-processing. This thesis will contain a complete technical data package that will explain each system sub-assembly in depth. To supplement the technical data package, we will also provide the acceptance test procedures and acceptance test results for all system requirements.