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Localization Based on Lidar and GNSS for Connected Vehicles

机译:基于激光雷达和GNSS的互联汽车定位

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Localization using GNSS alone may cause relatively large errors due to problems such as multipath and satellite visibility especially in urban areas compared to open areas. Many techniques for improving position accuracy using ADAS sensors such as cameras and Lidar were studied. In case of camera, performance decreases due to external environment such as illuminance is problematic, whereas the algorithm using Lidar is relatively robust to external factors, having less performance degradation than camera. V2X is ideally suited to obtain the navigation information of the surrounding objects. In this paper, we propose a localization method using the information of the surrounding objects acquired with V2X which can know the position in the navigation coordinate system and the Lidar which can know the relative position in the coordinate system of the center of the user's vehicle. Simulation results obtain by using a real-time driving simulator are included in the paper to show the performance of the proposed methods.
机译:由于存在多径和卫星能见度之类的问题,仅使用GNSS进行本地化可能会引起相对较大的误差,尤其是在城市地区(与开放区域相比)。研究了许多使用ADAS传感器提高位置精度的技术,例如相机和激光雷达。在相机的情况下,由于诸如照度之类的外部环境而导致性能下降是有问题的,而使用激光雷达的算法对外部因素则相对鲁棒,与相机相比,性能下降较小。 V2X非常适合获取周围物体的导航信息。在本文中,我们提出了一种定位方法,该方法使用通过V2X获取的周围物体的信息来定位,该信息可以知道导航坐标系中的位置,而激光雷达可以知道用户车辆中心的坐标系中的相对位置。通过使用实时驾驶模拟器获得的仿真结果包括在本文中,以显示所提出方法的性能。

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