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Development of a GNSS-based multi-sensor vehicle navigation system.

机译:基于GNSS的多传感器车辆导航系统的开发。

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A vehicle navigation system is developed that uses a combination of GPS positioning and dead reckoning sensors. A survey of dead reckoning sensors is presented, including examples and comparisons of different technologies. The dead reckoning sensors chosen for the final implementation were a low cost piezoelectric vibrating gyro and differential odometry provided by a vehicle's anti-lock braking system. Filtering of the data is done by a centralized Kalman filter with independent calibration filters for the dead reckoning sensors. Augmentations of GPS positioning are also investigated, focusing on clock coasting using an OCXO and height aiding. Several series of tests were performed to analyze the system's performance, culminating with tests in downtown Calgary under urban canyon masking and multipath conditions. Results from the testing indicate that an accuracy on the order of 10 to 20 metres can be achieved under most circumstances, but more intelligent algorithms or map matching are needed to control the large deviations which can be caused by poor GPS solutions.
机译:开发了一种结合了GPS定位和航位推算传感器的车辆导航系统。介绍了航位推测传感器的调查,包括不同技术的示例和比较。最终应用所选择的航位推算传感器是由车辆的防抱死制动系统提供的低成本压电振动陀螺仪和差分里程计。数据的过滤是通过中央卡尔曼滤波器完成的,该滤波器具有航位推算传感器的独立校准滤波器。还研究了GPS定位的增强功能,重点是使用OCXO和辅助高度功能进行时钟滑行。进行了一系列测试以分析系统的性能,最后在城市峡谷遮蔽和多径条件下在卡尔加里市中心进行了测试。测试结果表明,在大多数情况下,可以达到10至20米的精度,但是需要更智能的算法或地图匹配来控制由于GPS解决方案不佳而引起的大偏差。

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