Unmanned vehicle technologies are an area of great interest in theory and practice today. These technologies have advanced considerably after the first applications have been implemented and cause a rapid change in human life. Autonomous vehicles are also a big part of these technologies. The most important action of a driver has to do is to follow the lanes on the way to the destination. By using image processing and artificial intelligence techniques, an autonomous vehicle can move successfully without a driver help. They can go from the initial point to the specified target by applying pre-defined rules. There are also rules for proper tracking of the lanes. Many accidents are caused due to insufficient follow-up of the lanes and non-compliance with these rules. The majority of these accidents also result in injury and death. In this paper, we present an autonomous vehicle prototype that follows lanes via image processing techniques, which are a major part of autonomous vehicle technology. Autonomous movement capability is provided by using some image processing algorithms such as canny edge detection, Sobel filter, etc. We implemented and tested these algorithms on the vehicle. The vehicle detected and followed the determined lanes. By that way, it went to the destination successfully.
翻译:无人驾驶的车辆技术是当今对理论和实践非常感兴趣的领域,这些技术在第一批应用实施后已经取得了很大进展,并导致人类生活发生了迅速的变化。自治车辆也是这些技术的一大部分。驾驶员最重要的行动是沿着通往目的地的车道走下去。通过图像处理和人工智能技术,自主车辆可以在没有驾驶员帮助的情况下顺利移动。它们可以通过应用预先确定的规则从最初点进入指定目标。还制定了正确跟踪车道的规则。许多事故是由于对车道的跟踪不够和不遵守这些规则而造成的。这些事故大多还造成伤亡。在本文中,我们展示了通过图像处理技术沿车道行的自主车辆原型,这是自主车辆技术的一个主要部分。通过使用一些图像处理算法,例如罐子边缘探测、索贝尔过滤器等,可以提供自动移动能力。我们在车辆上实施并测试了这些算法。这些算法都是由于对车道的跟踪不足和不遵守这些规则而导致的。这些事故大多还造成了伤亡。在本文中,我们展示了通过图像处理技术沿车道而顺利到达目的地。