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Accuracy analysis of BeiDou receivers for lane detection applications

机译:北斗接收机在车道检测应用中的精度分析

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The future of Intelligent Transportation Systems (ITS) relies on a properly constructed Control Transportation System (CTS) based on a dynamically accurate localisation system. In urban scenarios applications for lane detection, as part of intelligent highways, Global Navigation Satellite Systems (GNSS) receivers provide tangential and perpendicular locations for localisation systems, by means of trueness and precision in the dynamic frame of the lane. Results show that the circular error probable (CEP) approach is not a realistic representation of the dynamic behaviour of the receivers, so the new Mahalanobis Ellipses Filter (MEF) approach was tested and proven to be a better dynamic accuracy representation for ground vehicles. Also, the MEF results from collected data in urban scenarios in Beijing's 3rd Ring Road present a significant representation of the potential applications for the several GNSS configuration tested, proving that a Multi-GNSS configuration can already properly work for lane detection applications. Conclusively, the results presented here show the MEF approach to be significantly better to test and validate lane detection applications. The separation into tangential and perpendicular deviations components allows a better technique to achieve the accuracy requirements description, for GNSS-based urban ground vehicle localisation system within a safety-relevant ITS.
机译:智能交通系统(ITS)的未来依赖于基于动态准确的本地化系统的正确构建的控制交通系统(CTS)。在城市场景的车道检测应用中,作为智能高速公路的一部分,全球导航卫星系统(GNSS)接收器通过车道动态范围内的真实性和精度为定位系统提供切线和垂直位置。结果表明,可能的圆形误差(CEP)方法不能真实表示接收器的动态行为,因此,对新型Mahalanobis椭圆滤波器(MEF)方法进行了测试,并证明了它对于地面车辆的动态精度较好。同样,从北京三环路城市场景中收集的数据得出的MEF结果也很好地代表了所测试的几种GNSS配置的潜在应用,证明了Multi-GNSS配置已经可以正确地用于车道检测应用。最终,这里显示的结果表明MEF方法明显更好地测试和验证了车道检测应用。对于安全相关的ITS中基于GNSS的城市地面车辆定位系统,切向和垂直偏差分量的分离允许一种更好的技术来达到精度要求描述。

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