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首页> 外文会议>International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management >Safe Driving Mechanism: Detection, Recognition and Avoidance of Road Obstacles
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Safe Driving Mechanism: Detection, Recognition and Avoidance of Road Obstacles

机译：安全驾驶机制：检测，识别和避免道路障碍

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摘要

In an intelligent vehicle (autonomous or semi-autonomous), detection and recognition of road obstacle is very important for it is the failure to recognize an obstacle on time which is the primary reason for road vehicular accidents that very often leads to human fatalities. In the intelligent vehicle of the future, safe driving is a primary consideration. This is accomplished by integrating features what will assist drivers in times of needs, one of which is avoidance of obstacle. In this paper, our knowledge engineering is focused on the detection, classification and avoidance of road obstacles. Ontology and formal specifications are used to describe such mechanism. Different supervised learning algorithms are used to recognize and classify obstacles. The avoidance of obstacles is implemented using reinforcement learning. This work is a contribution to the ongoing research in safe driving, and a specific application of the use of machine learning to prevent road accidents.
机译：在智能车辆（自主或半自动）中，道路障碍物的检测和识别对于失败来说是对障碍物的障碍，这是道路车祸的主要原因，这些事故经常导致人类死亡。在未来的智能车辆中，安全驾驶是一个主要考虑因素。这是通过整合特征来实现的，其中一个有助于驾驶员在需要时，其中一个是避免障碍物。在本文中，我们的知识工程专注于检测，分类和避免道路障碍。本体和形式规范用于描述这种机制。使用不同的监督学习算法用于识别和分类障碍物。使用强化学习实施避免障碍。这项工作是对安全驾驶的持续研究的贡献，以及机器学习使用的具体应用防止道路事故。

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