Date of Award


Degree Type


Degree Name

Master of Science


Computer Science


Dr. Michael Bauer


Vehicular ad-hoc networks (VANETs) allow for short range wireless communication to share information between vehicles. Vision-based driver assistance (VBDA) uses computer vision to obtain information about nearby objects. The goal of both systems is to create a model of the environment surrounding the vehicle in order to make decisions. With unique strengths and weaknesses the two systems complement each other well. A simulation environment for both VANETs and VBDA is created to test both systems alongside one another. They are evaluated and then combined to build the best possible model of the environment with the goal of improving vehicle safety under adverse conditions



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