一种角度检测导引装置模拟计算

自动驾驶需要能够观察和跟踪周围运动车辆的人工智能和认知能力。这些信息可以通过利用雷达、摄像头、激光等多种传感器获得。但是，这些信息容易受到杂波和噪声的影响，造成跟踪系统的原始数据的不可靠。本文提出了一种基于莫尔干涉条纹显示的车辆检测与跟踪系统。这套跟踪系统包括安装在每辆车后方的250×250mm的导引显示板（GDP）和安装在车前方的具有200mm长焦镜头的全高清摄像头。通过模拟计算不同距离和偏移角下莫尔条纹，研究了GDP的性能。计算结果表明这种跟踪系统无论在市区还是高速路的驾驶条件下，都能帮助自动驾驶汽车跟随前行车辆。

A simulation of Angle Detection Guiding Apparatus

Autonomous self-drive requires intelligence and cognition that relies on observing and tracking motion states of surrounding vehicles. This information can be acquired by using multiple sensors such as radar, camera, laser etc. However, they are often affected by clutter and noise that, in turn, introduce the issues of estimation and data origin uncertainty into the tracking system. In this paper, a vehicle detection and tracking system based on Moiré fringe guidance display panel is proposed. The tracking system includes 250×250mm guidance display panels (GDP) mounted on the back of each vehicle and aFHD cameras with a200mm telephoto lensmounted in front of the following vehicle. The characteristics of the GDP are studied by calculating the pattern with different angular displacement and distance. It is evaluated that the proposed tracking system can help the autonomous car to follow the previous vehicle in both urban and highway driving conditions.