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VALIDATION OF INERTIAL AND OPTICAL NAVIGATION TECHNIQUES FOR SPACE APPLICATIONS WITH UAVS

机译:UAVS在空间应用中的惯性和光学导航技术的验证

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摘要

PERIGEO is an R&D project, funded by thernINNPRONTA 2011-2014 programme from SpanishrnCDTI, which aims to investigate the use of UAVrntechnologies and processes for the validation of spacernoriented technologies. For this purpose, among differentrnspace missions and technologies, a set of activities forrnabsolute and relative navigation are being carried out torndeal with the attitude and position estimation problemrnfrom a temporal image sequence from a camera on thernvisible spectrum and/or Light Detection and Rangingrn(LIDAR) sensor. The process is covered entirely: fromrnsensor measurements and data acquisition (images,rnLiDAR ranges and angles), data pre-processingrn(calibration and co-registration of camera and LIDARrndata), features and landmarks extraction from thernimages and image/LiDAR-based state estimation.rnIn addition to image processing area, classicalrnnavigation system based on inertial sensors is alsornincluded in the research. The reason of combining bothrnapproaches is to enable the possibility to keeprnnavigation capability in environments or missions wherernthe radio beacon or reference signal as the GNSSrnsatellite is not available (as for example an atmosphericrnflight in Titan). The rationale behind the combination ofrnthose systems is that they complement each other. ThernINS is capable of providing accurate position, velocityrnand full attitude estimations at high data rates. However,rnthey need an absolute reference observation torncompensate the time accumulative errors caused byrninertial sensor inaccuracies. On the other hand, imagingrnobservables can provide absolute and relativernpositioning and attitude estimations. However they needrnthat the sensor head is pointing toward groundrn(something that may not be possible if the carryingrnplatform is maneuvering) to provide accuraternestimations and they are not capable of provide somernhundreds of Hz that can deliver an INS. This mutualrncomplementarity has been observed in PERIGEO andrnbecause of this they are combined into one system.rnThe inertial navigation system implemented inrnPERIGEO is based on a classical loosely coupledrnINS/GNSS approach that is very similar to thernimplementation of the INS/Imaging navigation systemrnthat is mentioned above.rnThe activities envisaged in PERIGEO cover thernalgorithms development and validation and technologyrntesting on UAVs under representative conditions. Pastrnactivities have covered the design and development ofrnthe algorithms and systems. This paper presents thernmost recent activities and results on the area of imagernprocessing for robust estimation within PERIGEO,rnwhich are related with the hardware platforms definitionrn(including sensors) and its integration in UAVs. Resultsrnfor the tests performed during the flight campaigns inrnrepresentative outdoor environments will be alsornpresented (at the time of the full paper submission therntests will be performed), as well as analyzed, togetherrnwith a roadmap definition for future developments.
机译:PERIGEO是一个研发项目,由SpanishrnCDTI的rnINNPRONTA 2011-2014计划资助,该项目旨在研究无人机技术和工艺的使用,以验证面向间隔子的技术。为此,在不同的太空任务和技术之间,正在进行一系列绝对和相对导航活动,以解决来自姿态上可见光谱和/或光探测与测距(LIDAR)摄像机的时间图像序列带来的姿态和位置估计问题。传感器。该过程完全覆盖:从传感器测量和数据采集(图像,LiDAR范围和角度),数据预处理(摄像机和LIDAR数据的校准和共配准),从图像中提取特征和界标以及基于图像/ LiDAR的状态估计。除了图像处理领域外,基于惯性传感器的经典导航系统也被纳入研究范围。合并两种方法的原因是为了能够在没有无线电信标或参考信号(如GNSS卫星)的环境或任务中保持导航能力(例如,泰坦的大气飞行)。这些系统组合背后的基本原理是它们可以相互补充。 ThernINS能够以高数据速率提供准确的位置,速度和全姿态估计。但是,它们需要绝对的参考观测值,以补偿由惯性传感器不准确引起的时间累积误差。另一方面,可成像的物体可以提供绝对和相对定位以及姿态估计。但是,他们需要传感器头指向地面(如果正在搬运平台,这可能是不可能的)以提供准确的估计,并且它们不能提供可以传递INS的数百Hz。这种相互互补性已经在PERIGEO中被观察到,并且因为它们被组合成一个系统。在PERIGEO中实现的惯性导航系统是基于经典的松耦合INS / GNSS方法的,该方法与上面提到的INS /成像导航系统的实现非常相似。在PERIGEO中设想的活动包括在代表性条件下对无人机进行算法的开发,验证和技术测试。过去的活动涵盖了算法和系统的设计和开发。本文介绍了PERIGEO中用于稳健估计的图像处理领域的最新活动和结果,这些活动和结果与硬件平台定义(包括传感器)及其在无人机中的集成有关。在飞行活动中在代表性户外环境中进行的测试结果也将被展示(在提交论文全文时将进行测试),并进行分析,并为未来的发展确定路线图。

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  • 来源
  • 会议地点 Barcelona(ES)
  • 作者单位

    Deimos Space, Ronda de Poniente 19, 28760 Tres Cantos, Spain. Phone/Fax (+34) 91 806 34 50/51.javier.montano@deimos-space.com.;

    Deimos Space, Ronda de Poniente 19, 28760 Tres Cantos, Spain mariano.wis@deimos-space.com.;

    Deimos Space, Ronda de Poniente 19, 28760 Tres Cantos, Spain jose-antonio.pulido@deimos-space.com.;

    Deimos Space, Ronda de Poniente 19, 28760 Tres Cantos, Spain antonio.latorre@deimos-space.com.;

    Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Castelldefels, Barcelonapere.molina@cttc.cat;

    Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Castelldefels, Barcelona enric.fernandez@cttc.cat;

    Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Castelldefels, Barcelona eduard.angelats@cttc.cat;

    Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Castelldefels, Barcelona ismael.colomina@cttc.cat;

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  • 入库时间 2022-08-26 14:31:10

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