基于数据融合的车联网避碰辅助安全驾驶系统实现

Haeyoung Lee, Jihoon Yang, K. Moessner
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引用次数: 3

摘要

随着5G和超越通信技术的发展以及最近在自动驾驶方面取得的成就,提高道路安全的技术解决方案受到了广泛关注。在本文中,我们提出了一个使用1/10比例车辆实现的避碰系统,作为连接车辆网络的自动驾驶研究平台。虽然避碰系统利用数据融合来做出与预测潜在碰撞事件相关的决策,但从车载传感器和车辆通信中获得的数据融合的有效性在测试平台环境中进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of a Collision Avoidance System To Assist Safe Driving Based on Data Fusion in Vehicular Networks
With development of 5G and Beyond communication technologies and the recent achievements in autonomous driving, technical solutions to improve road safety have attracted great attention. In this paper, we present a collision avoidance system implemented using a 1/10 scale vehicle, as a research platform for autonomous driving connected a vehicular network. While the collision avoidance system exploits data fusion to make decisions relevant to predicting potential collision events, the effectiveness of the fusion of data obtained from in-vehicle sensors and vehicular communication is evaluated within a testbed environment.
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