未来自动驾驶的惯性和成像传感器融合

I. Prikhodko
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引用次数: 0

摘要

在本文中,我们讨论了adi公司通过开发高精度、实时的导航传感器融合来实现安全、可靠的自主运输的方法。我们的感知传感器套件使用雷达、激光雷达、摄像头和imu,在没有gps的环境中提供可靠的车辆位置。通过战术级IMU和视觉/激光雷达/雷达里程计,我们实验证明了汽车捷联惯性导航的位置误差达到类似gps的精度。我们分析了传感器误差在位置误差中的传播,并将理论与现场测试结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inertial and Imaging Sensor Fusion for an Autonomous Tomorrow
In this paper we discuss Analog Device’s approach to enable safe, reliable autonomous transport by developing highly accurate, real-time sensor fusion for navigation. Our perception sensor suite uses radar, lidar, cameras, and IMUs to provide a trustworthy position of a vehicle in GPS-denied environment. We experimentally demonstrate strapdown inertial navigation for automobiles with position errors reaching GPS-like accuracies by using a tactical-grade IMU and visual/lidar/radar odometry. We analyze the propagation of sensor errors into positional error and compare theory with field test results.
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