quality range rate estimate msf 38 clearness of track m 38 clearness u2014 how far away is track from other tracks fuzzy logic gates are used to generate ten sensor mode control rules shown in fig5 a and 5b which are multiplied by weighing factors to be subsequently discussed to determine a rule score it does this for every track and each sensor the rule with the best score becomes a sensor cue the second sensor cue if there is a second sensor is the next best score in this way the fuzzy network decides which of three modes to request and where to point each sensor again note that while two sensors will be discussed a single sensor or more than two could be used referring to fig3 u2013 5 and additionally to fig6 rule number 1 indicated by numeral 40 is illustrated in detail rule number 1 is the only hard or non fuzzy logic rule rule 1 provides a hur burst data when a key track nominated is near an intersection or near other vehicles this is to maintain track continuity when a nominated track is predicted to be taking a maneuver or predicted to be close to other tracks confusers 1 it is first necessary to determine the nomination status of the track m 9 nomination status is assigned a one if it is a nominated track or track is ambiguous with a nominated track determined by either the kinematic tracker 34 or u201c fats u201d system 36 to be subsequently discussed and is kinematically ambiguous m 1 and 2 track is in field of view m 32 and not terrain screened m 14 and not near an intersection m 4 the resulting score is multiplied.