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Online Integrity Alert Limit Determination Method for Autonomous Vehicle Navigation

机译:自主导航在线完整性预警限值确定方法

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Integrity is the critical performance indicator for navigation in safety-critical applications such as autonomous vehicles. Alert limit is one of the representative parameter in integrity which defines the maximum tolerable positioning error for an operation to safely proceed. However the integrity requirements for GNSS assessment are quite different from those for autonomous vehicles. For autonomous vehicles, a reasonable alert limit needs to ensure the vehicle security and take full advantage of the space between vehicle and lane as much as possible. Based on the analysis of differences from civil aviation to autonomous vehicles, an improved alert limit determination method is proposed in this paper. The kinematic model is firstly introduced into the online determination of alert limit. The integrity risk on two sides are allocated optimally respect to the road geometry and kinematic model. The fixed cuboid bounding box is replaced by a subversive fan-shaped bounding box which is more reasonable to cover the safe-critical areas. The experiment test results compared with those of the Ford model also verified the superiority of the proposed method. Finally the paper also gives the alert limits calculated based on the Chinese standards and hopefully it could provide some references.
机译:完整性是自动驾驶等安全关键型应用中导航的关键性能指标。警报极限是完整性中的代表参数之一,它定义了操作可以安全进行的最大可定位误差。但是,GNSS评估的完整性要求与自动驾驶汽车完全不同。对于自动驾驶汽车,需要合理的警报限制,以确保车辆安全并尽可能充分利用车辆与车道之间的空间。在分析民航与自动驾驶汽车差异的基础上,提出了一种改进的预警限值确定方法。运动学模型首先被引入到警报极限的在线确定中。相对于道路几何形状和运动学模型,对两侧的完整性风险进行了最佳分配。固定的长方体边界盒被具有颠覆性的扇形边界盒所取代,该形状更合理,可以覆盖安全关键区域。实验结果与福特模型的比较也证明了该方法的优越性。最后,本文还给出了根据中国标准计算得出的警报限值,希望可以提供一些参考。

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