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GPS and IMU Require Visual Odometry for Elevation Accuracy

机译:GPS和IMU需要视觉测量的高度精度

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Currently, self-localization of vehicles is primarily carried out by GPS receivers of different price and performance classes, which are permanently installed in vehicles. Known limitations of GPS-based localization include signal disturbances due to multipath propagation, as it may occur in narrow street canyons or tree alleys, as well as signal losses in tunnels or entrances to buildings, for example. It may happen that horizontal GPS channels still support a useful 2D positioning with low uncertainties while the GPS altitude channel has very large deviations or error uncertainties. Additional sensors (IMU or cameras) help to detect sections of trajectories where the GPS signal becomes unusable. Based on a traditional navigation strategy (i.e. integration of IMU and GPS), we also study the possible integration of visual odometry obtained from a stereo camera system. The paper reports about a large-scale project studying multi-sensor integration for very accurate and robust self-localization of vehicles.
机译:目前,车辆的自定位主要由不同价格和性能类的GPS接收器进行,这些机器接收器永久安装在车辆中。 GPS的定位的已知局限包括多径传播引起的信号干扰,因为它可能发生在狭窄的街道峡谷或树木中,以及例如隧道中的信号损耗或建筑物的入口。可能发生的是,水平GPS通道仍然支持具有低不确定性的有用的2D定位,而GPS高度信道具有非常大的偏差或误差不确定性。附加传感器(IMU或摄像机)有助于检测GPS信号变得无法使用的轨迹的部分。基于传统的导航策略(即IMU和GPS的集成),我们还研究了从立体声相机系统获得的视觉内径术的可能集成。本文报告了一个大型项目,研究了多传感器集成,用于非常准确和强大的车辆自定位。

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