This research project is concerned with sensor validation and sensor fusion as part of a five module hierarchical architecture for supervisory control. The goal is to enhance reliability and safety of the Intelligent Vehicle Highway System (IVHS) by taking into consideration the uncertainty of...

Vehicles in an IVHS system rely heavily on information obtained from sensors. So far, most control systems make the implicit assumption that sensor information is always correct. However, in reality, sensor information is always corrupted to some degree by noise which varies with operating...

This study reports on a method to accomplish sensor validation and fusion in Intelligent Transportation Systems (ITS). The method is based on probabilistic and fuzzy techniques that express a confidence in the sensor data and take into account environmental factors and the state of the system....