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首页> 外文期刊>IJIDeM: International Journal on Interactive Design and Manufacturing >Hardware in the loop framework proposal for a semi-autonomous car architecture in a closed route environment
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Hardware in the loop framework proposal for a semi-autonomous car architecture in a closed route environment

机译：循环框架建议中的硬件在封闭路线环境中的半自动汽车架构

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摘要

The development of intelligent vehicles has been increasing at great speed in recent years, which has allowed to improve their capabilities in autonomous driving systems. Many of these features are related to advanced driving assistance systems and autonomous driving systems. This capability improvement, has been achieved because of recent developments of automation oriented software and hardware. Such improvements, allowed the vehicle to achieve a more precise perception of it's working environment. For this improvement it is important the integration and simulation of the systems in different configurations, such as hardware-in-the-loop, software-in-the-loop and model-in-the-loop. In this paper, we present a framework proposal that allows the design and testing of computer vision and control systems for the partial automation of a vehicle, with the use of hardware and software systems in the loop. This proposal is focused on the rapid experimental development of these systems for the implementation by autonomous vehicle designers and engineers. Our proposal allows faster data capture, either in a real or simulated environment, to improve and optimize data training with machine learning algorithms; this proposal integrates several open source systems and hardware with the necessary capacity for real-time implementation.
机译：近年来，智能车辆的发展速度迅速，允许改善其在自动驾驶系统中的能力。这些功能中的许多功能与先进的驾驶辅助系统和自主驾驶系统有关。由于最近的自动化导向软件和硬件的发展，已经实现了这种能力。这种改进，允许车辆实现更精确的对它的工作环境的看法。为此，重要的是，重要的是不同配置的系统的集成和仿真，例如循环硬件，循环和循环模型。在本文中，我们提出了一个框架提案，允许在循环中使用硬件和软件系统的车辆部分自动化的计算机视觉和控制系统的设计和测试。该提案专注于自动车辆设计师和工程师实施这些系统的快速实验开发。我们的提案允许更快的数据捕获，无论是在真实或模拟的环境中，都可以通过机器学习算法改进和优化数据培训;该提案将多个开源系统和硬件集成，具有必要的实时实现。

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