Viewing corridors as right parallelepipeds for vision-based vehicle localization

An approach to vision-based vehicle localization by viewing corridors as a combination of right parallelepipeds is proposed. The objective is to deriv e the orientation and lateral position of a vehicle in a right parallelepip ed corridor, These two kinds of information are all that is needed for vehi cles to navigate safely in a right parallelepiped corridor. This approach o ffers low hardware cost and simple computation. Only one camera mounted on the vehicle is needed, and analytic formulas are derived for computing the vehicle location. The information source is the corridor ceiling. Two ortho gonal sets of parallel lines on the corridor ceiling are used to detect the vanishing line of the ceiling. An equation is developed to derive the vehi cle orientation by utilizing the detected vanishing line. Also, based on th e observation of the variation of image line slopes when we move laterally, another equation is established to evaluate the relative lateral position of the vehicle by utilizing the line slope of the ceiling line pointing for ward. Experiments have been conducted, and acceptable vehicle localization results have been obtained, to prove the feasibility of the proposed approa ch.