Wall and Object Detection with FRI and Bayes-Classifier for Autonomous Robot

To detecting the nearly objects and walls is very important for a mobile robot or an autonomous vehicle to collision avoidance. It needs many of sensors for wide range detection. The results are better with more type of sensors for example infrared sensors, ultrasonic sensors, laser distance sensors. Because of the number of sensors it needed to use sensor fusion. It is a relatively easy way by using the FRI based Behaviour Description Language or the Bayes-classifier.