Utilizing a plurality of on-road vehicles for increasing descriptive accuracy of areas and objects

Abstract

A plurality of on-road vehicles moving along streets of a city, while utilizing onboard cameras for autonomous driving functions, are bound to capture, over time, random images of various city objects such as pedestrians, vehicles, building and other structures. Images of a certain city object may be captured by many of the vehicles at various times while passing by that object, thereby resulting in a corpus of imagery data containing various random images and other representations of that certain object. Per each of at least some of the city objects appearing more than once in the corpus of imagery data, appearances are detected and linked, and then analyzed and processed to result in representations and other data sets and types having a better descriptive accuracy in conjunction with the city object. The data sets having a better descriptive accuracy may then be used to reach certain conclusions or facilitate actions.