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Vision based autonomous vehicle for smart transportation system

机译:基于视觉的智能交通系统自动驾驶汽车

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A lot of research work has been carried out on the smart city and its applications in last two decades. Smart transportation is an application of smart city and also an important factor in building smart cities. Due to the complexity in passenger's traffic in big cities, a smart transportation system is needed to resolve the issue. This paper examines the concept of a vision-based transportation system to resolve the complexities in passenger's traffic and improving the productivity of existing transportation system. The vision-based transportation systems are expected to have positive mobility effects and be able to subsidize to the green environment by improving air quality and energy conservation for planning and developing a smart city. Thus, vision-based transportation is possibly an important approach for supporting and improving the transportation system. Vision-based transportation is a set of technologies applied to transportation infrastructure and vehicles to improve their performance. More specifically, vision-based transportation involves the application of established communications, controls, electronics, computer hardware, and software technologies in the transportation system. The paper examines in detail a broad range of vision-based transportation technologies and the expected benefits. These benefits include improved transportation system, travel time, throughput, cost savings, and most importantly safety and security. The paper considers a set of barriers that are required for the improvement of autonomous vehicles.
机译:在过去的二十年中,已经对智慧城市及其应用进行了大量研究工作。智慧交通是智慧城市的应用,也是建设智慧城市的重要因素。由于大城市客运交通的复杂性,需要一个智能交通系统来解决该问题。本文研究了基于视觉的运输系统的概念,以解决客运量的复杂性并提高现有运输系统的生产率。基于视觉的交通系统有望产生积极的交通影响,并能够通过改善空气质量和节约能源来规划和发展智慧城市,从而对绿色环境进行补贴。因此,基于视觉的运输可能是支持和改善运输系统的重要方法。基于视觉的运输是应用于运输基础设施和车辆以提高其性能的一组技术。更具体地说,基于视觉的运输涉及在运输系统中应用已建立的通信,控件,电子设备,计算机硬件和软件技术。本文详细研究了多种基于视觉的运输技术及其预期收益。这些好处包括改善的运输系统,旅行时间,吞吐量,节省成本,最重要的是安全性。本文考虑了改进自动驾驶汽车所需的一系列障碍。

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