The navigation technology based on machine vision for driving robot in vehicle road tests is studied.A quick and robust image algorithm to detect vehicle inductive lines is proposed.In this algorithm,the conditional edge detection is carried out firstly within an interested mobile region.Then,a novel processing idea of gradient direction histogram is introduced.And how to select candidate point sets and valid point sets on the inductive line edges is ascertained.Finally,the feature parameters about vehicle inductive lines are extracted quickly and accurately by the proposed Kalman filter with the scalar measurement processing.Experiments show that the proposed detection algorithm can satisfy the navigation demands of the driving robot even in the complex road environment and has the real-time processing velocity as quick as 30ms per frame.