车轮里程计对地面车辆低成本视觉惯性导航系统的影响

Jaehyuck Cha, J. Jung, J. Y. Chung, Tae Ihn Kim, Chan Gook Park, Myung Hwan Seo, S. Park, Jong Yun Yeo
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引用次数: 0

摘要

本文研究了一种用于地面车辆的专用视觉惯性导航系统(VINS),该系统配备了单目摄像机和嵌入式车轮里程计辅助的惯性测量单元(IMU)。特别是,这项工作的范围是具有低成本IMU的系统,其中加速度计相当不可靠,以及全球导航卫星系统(GNSS)拒绝的环境,如城市峡谷或隧道内部。由于加速度计的偏差在低等级情况下是波动的,一般的VINS无法正确估计加速度计的偏差,导致导航性能差。与此同时,车轮里程表被嵌入到大多数汽车中,并提供速度信息,允许加速度计偏差进行校准。本文利用KITTI基准数据集仿真分析了车轮里程计对低成本VINS方案尺度精度的影响。实际实验也验证了上述分析,显示出导航性能的显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of Wheel Odometer on Low-Cost Visual-Inertial Navigation System for Ground Vehicles
This paper deals with a specialized visual-inertial navigation system (VINS) for ground vehicles equipped with a monocular camera and an inertial measurement unit (IMU) aided by the embedded wheel odometer. In particular, this work is scoped to the systems with a low-cost IMU of which accelerometers are considerably unreliable and the global navigation satellite system (GNSS)-denied environments such as the urban canyon or the inside of tunnels. Since the accelerometer biases are fluctuating in low-grade cases, a general VINS cannot estimate them properly, which results in poor navigation performance. Meanwhile, the wheel odometers are embedded in most cars and provide speed information, allowing the accelerometer biases to be calibrated. This paper analyzes the effect of wheel odometer on scale accuracy of low-cost VINS solution through simulation using the KITTI benchmark dataset. The real-world experiment also verifies the preceding analysis and shows a remarkable improvement in navigation performance.
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