Speed Estimation Using Stereoscopic Effect

Abstract

This work is part of developing a new type of radars which is based on stereoscopic effect obtained by using two cameras. The main work is to develop an algorithm for speed estimation. We begin by detecting motions and tracking vehicles in order to identify the vehicle in the next frame. Stereoscopic pictures allow us to calculate the distance from the cameras to the chosen object within the picture. The distance is calculated from differences between the pictures and by using intrinsic and extrinsic cameras' parameters. The object is selected on the left picture, while the same object on the right picture is automatically detected by calculating the cross-correlation's score between both pictures. The object's position can be calculated by doing some geometrical derivations. The speed is estimated by calculating the slope of the distances estimated in several frames. The accuracy of the position depends on picture resolution, optical distortions and distance between the cameras.

Real Time Vehicle Detection, Tracking, and Inter-vehicle Distance Estimation based on Stereovision and Deep Learning using YOLOv3

“…So, the problematic of stereovision revolves around two essential points: camera calibration and synchronization. Indeed, at the shooting level, it is obviously necessary to obtain images of the same scene [3]- [5].…”

“…The whole system was installed on a bridge over the highway, as shown in the following Fig. 1 [4], [5]. The calibration of a single camera (monocular applications) is equivalent to estimating its intrinsic parameters and its position in relation to the world reference frame.…”

“…The accuracy of the system depends on its correct calibration. Generally, we have two types of calibration [3]- [5]:…”

“…However, these systems are reliable under normal conditions. In fact, they may not work very well in special circumstances, such as occlusion, bad weather, changes in lighting, and so on [1]- [3], [5]- [9].…”

“…In the present study, we are mainly interested in the calculation of inter-vehicle distance, which is an important traffic factor to be studied in intelligent transportation systems [2], [5], [8] [1,5,6]. The aim of this paper is to present the possibility of using stereo cameras instead of LIDAR to estimate the intervehicle distance [1], [5]. Indeed, this method is advantageous because the recordings made by the cameras can be adapted for many algorithms.…”