Sensor fusion and sensor management for automated vehicles
Examensarbete för masterexamen
Complex adaptive systems (MPCAS), MSc
The development of the autonomous vehicle is one of modern technology’s widespread goals and is therefore an area of great competition and rapid development. This puts great pressure on technology as a whole, but on sensors and sensor fusion especially, since they are instrumental for the implementation of active safety. This thesis examines how sensors and sensor fusion is used in the different autonomous vehicles that participated in the 2016 Grand cooperative driving challenge (GCDC), and how it was implemented in one of them specifically. The conclusion is that the GCDC is a great incentive for the development of cooperative autonomous vehicles in general, although it lacks in the specific area of sensors and sensor fusion. However, the hardware and concepts used is an indication of what is needed for a vehicle to be fully equipped to deal with the rigors of the real world and to guarantee everyone’s safety in traffic.
Sensor fusion , 2016 Grand Cooperative Driving Challenge , Autonomous Vehicles , Kalman Filter