PROBABILISTIC AND FUZZY METHODS FOR SENSOR VALIDATION AND FUSION IN VEHICLE GUIDANCE : A COMPARISON
Kai Goebel, Alice Merner Agogino, Satnam Alag · 1997
This paper presents a comparison of methods to deal with uncertainty that is associated with longitudinal distance sensors. The methods are based on probabilistic and fuzzy approaches for sensor validation and sensor fusion. The performance of these methods is investigated as they are applied to follower vehicle guidance for platooning tasks in an automated highway setting.