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Autonomous driving requires vehicle positioning with accuracies of a few decimeters. Typical low-cost GNSS sensors, as they are commonly used for navigation systems, are limited to an accuracy of several meters. Also, they are restricted in reliability because of outages and multipath effects. To improve accuracy and reliability, 3D features can be used, such as pole-like objects and planes, measured...
Maximizing passengers comfort is an important research topic in the domain of automotive systems engineering. In particular, an automatic adjustment of seat position according to driver height significantly increases the level of comfort during ingress. In this paper, we present a new method to estimate the height of approaching car drivers based on a single omni directional camera integrated with...
This paper presents a multi-agent system(MAS_VFD&HM) developed for complex vehicle fault diagnosis and health monitoring. The MAS_VFD&HM consists of signal diagnostic agents, special case agents, and a vehicle diagnostic/monitoring agent. A signal agent is responsible for the fault diagnosis or monitoring of one particular signal using either a single signal or multiple signals depending on...
A method of wavelet packet frequency decomposition was proposed, and it was used to analyze the vehicle interior noise signal and take feature extraction, the characteristic vector of total average statistical was constructed after feature extraction. Meanwhile the vector of sound quality calculated from the objective quantization mathematics model was also constructed. Then the correlation coefficient...
The main goal of our research is to develop techniques for the detection of feature interactions for embedded systems in the automotive domain. Automotive systems are cyber-physical systems (CPS), which are composed of a "cyber" part that consists of software components running on digital hardware and a "physical" part that is the mechanical processes monitored by the software...
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