Electric/Electronic-Architectures - Automating and optimizing communication matrices

This research aims at optimizing the Electric/Electronic-Architecture of modern day vehicles. Due to the massive increase in new Advanced Driver Assistance Systems, currently implemented communication technologies are no longer sufficient to deal with the massive increase in transmitted information. Instead of the costly procedure of introducing yet another communication technology in the vehicle, this research targets an previously unsolved problem inherent to the current design process: The complex task of optimally assigning signals with a range of different parameters (such as size, timing, receivers) to payloads of communication frames. This NP-hard Multi-Objective Combinatorial Optimization Problem is solved using a Genetic Algorithm, combined with modified heuristic operators to develop an automated process, capable of reducing the systems bus load and number of transmitted communication frames considerably.Telecommunication and SensingEmbedded SoftwareElectrical Engineering, Mathematics and Computer Scienc

3D Face Recognition: Image Acquisition

The ability to reliantly identify people is an ever growing desire. 3D imaging devices provide major new possibilities in this field. This thesis presents a method which uses a Microsoft Kinect to acquire a depth map of a persons face and transforming this into a point cloud that can be used for further processing into a 3D model of a subjects face. The thesis starts by giving a description of the requirements our system needs to abide by to achieve the desired output. Since this output will undergo further processing, it is vital our output format matches the pre-defined format. After that the details of the Kinect will be discussed, including the technical architecture, Kinect performance, the method used by the Kinect to acquire depth data and the data structure it provides. Chapter 4 goes into detail on how this data is processed to extract the necessary information. Several filtering methods are introduced to forgo unwanted characteristics in the data. Finally in Chapter 5 we use the previous methods by applying them to real-world data and investigate the differences.Circuits and SystemsMicroelectronics & Computer EngineeringElectrical Engineering, Mathematics and Computer Scienc