车载传感器融合的增强现实障碍物检测

2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) Pub Date : 2016-09-01 DOI:10.1109/ICCE-Berlin.2016.7684754

N. Popovic, O. Djekic, M. Kovacevic, T. Maruna

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引用次数: 1

摘要

高级驾驶辅助系统(ADAS)用于车辆，使驾驶尽可能安全。因此，ADAS使用传感器、激光雷达、雷达和摄像头，使车辆能够感知周围的一切。这么多不同的组件需要处理和分析大量的数据。本文提出了一种分层的软件架构，该架构从超声波传感器采集数据，对其进行处理并部署到系统的更高层。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Augmented reality obstacle detection for in-vehicle sensor fusion

Advanced Driver Assistance System or ADAS is used in vehicles to make driving as safe as possible. For that reason ADAS uses sensors, lidars, radars and cameras to enable vehicles to perceive everything that surrounds them. So many different components require processing and analyzing large amounts of data. This paper proposes layered architecture for software which collects data from ultrasonic sensors, processes it and deploys to higher layers of the system.

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来源期刊

2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

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