Image Based Vehicle-Trailer Angle Estimation

Lila Kaci, Bacem Samet, Meriem Yahiaoui, A. Makni, Hadj Daoud Mousselmal
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Abstract

A trailer assist system is an Advanced Driver Assistance System. It enables a more effective maneuvering of a trailer towed by a vehicle. It is particularly useful in constraint scenarios such as parking, traffic jam, turns, etc. Traditionally, trailer assist systems are based on image processing methods or require specific sensors to measure the hitch angle. In this paper, we propose to estimate the hitch angle by making use of the existing rear camera of the vehicle and by using an image processing approach, thus avoiding the supplementary angle measurement sensor. To this extent, a dedicated database is collected and annotated. Two different methods are developed to predict this corresponding angle, the first method is based on a convolutional neural network and the second one is a deterministic image processing method. The two approaches are finally compared in terms of accuracy and execution time.
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基于图像的车辆-拖车角度估计
拖车辅助系统是高级驾驶员辅助系统。它可以更有效地操纵由车辆牵引的拖车。它在停车、交通堵塞、转弯等约束情况下特别有用。传统上,拖车辅助系统是基于图像处理方法或需要特定的传感器来测量悬挂角。在本文中,我们建议利用车辆现有的后置摄像头,并采用图像处理的方法来估计悬挂角,从而避免了补充角度测量传感器。为此,收集并注释了一个专用数据库。提出了两种不同的方法来预测对应角,第一种方法是基于卷积神经网络,第二种方法是确定性图像处理方法。最后对两种方法进行了精度和执行时间的比较。
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