1. A method for evaluating roadside stationary objects, comprising the steps of: receiving sensor readings from one or more vehicle mounted sensor(s), the sensor readings include a plurality of data points and each data point corresponds to an object that is within a field-of-view of one of the sensors; consolidating the plurality of data points into a smaller set of consolidated data points; classifying the consolidated data points into a smaller set of classified data points, the classified data points correspond to one or more stationary objects; pre-sorting the classified data points into first and second smaller sets of pre-sorted data points, the first set of pre-sorted data points correspond to one or more stationary objects located only on a left side of the road and the second set of pre-sorted data points correspond to one or more stationary objects located only on a right side of the road; determining if there is one or more stationary objects present on the left side of the road by using the first set of pre-sorted data points, and determining if there is one or more stationary objects present on the right side of the road by using the second set of pre-sorted data points; and when there is a stationary object present on the left side of the road then applying the first set of pre-sorted data points to a data fitting algorithm that estimates a size, shape and/or location of the stationary object, and when there is a stationary object present on the right side of the road then applying the second set of pre-sorted data points to a data fitting algorithm that estimates a size, shape and/or location of the stationary object.