Towards Autonomous Driving Using Vision Based Intelligent Systems

J. Nine
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Abstract

Vision Based systems have become an integral part when it comes to autonomous driving. The autonomous industry has seen a made large progress in the perception of environment as a result of the improvements done towards vision based systems. As the industry moves up the ladder of automation, safety features are coming more and more into the focus. Different safety measurements have to be taken into consideration based on different driving situations. One of the major concerns of the highest level of autonomy is to obtain the ability of understanding both internal and external situations. Most of the research made on vision based systems are focused on image processing and artificial intelligence systems like machine learning and deep learning. Due to the current generation of technology being the generation of “Connected World”, there is no lack of data any more. As a result of the introduction of internet of things, most of these connected devices are able to share and transfer data. Vision based techniques are techniques that are hugely depended on these vision based data.
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使用基于视觉的智能系统实现自动驾驶
当涉及到自动驾驶时,基于视觉的系统已经成为不可或缺的一部分。由于基于视觉的系统的改进,自动驾驶行业在环境感知方面取得了很大的进步。随着工业自动化的发展,安全功能越来越成为人们关注的焦点。根据不同的驾驶情况,必须考虑不同的安全措施。最高级别的自主性的主要关注点之一是获得理解内部和外部情况的能力。大多数基于视觉系统的研究都集中在图像处理和人工智能系统上,如机器学习和深度学习。由于当前这一代技术是“互联世界”的一代,因此不再缺乏数据。由于物联网的引入,大多数这些连接的设备都能够共享和传输数据。基于视觉的技术很大程度上依赖于这些基于视觉的数据。
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