The trajectory data points are referenced on the fly by the trajectory footprints. This allows access to large volumes of point data without the need for data conversion. Trajectory datasets can be used to manage data from many sensors, such as Sentinel-3 (SRAL), Sentinel-6, CryoSat, and ...
A dataset can be created using the Create Trajectory Dataset tool, which builds a container in a geodatabase to store the footprint geometries, metadata, and references for the trajectory files. Trajectory files and selected variables can then be added to the empty trajectory dataset using the ...
美 英 un.弹道诸元 英汉 un. 1. 弹道诸元 释义: 全部,弹道诸元
MISSING_DATA: (Boolean) It is FALSE when the GPS data stream is complete and TRUE whenever one (or more) locations are missing POLYLINE: (String): It contains a list of GPS coordinates (i.e. WGS84 format) mapped as a string. The beginning and the end of the string are identified wit...
Trajectory Data Mining: An Overview Yu Zheng ACM Transaction on Intelligent Systems and Technology|September 2015 Publication Download BibTex Publication Downloads GeoLife GPS Trajectories August 9, 2012 This is a GPS trajectory dataset collected in (Microsoft Research Asia) GeoLife project by 182 users...
The challenges presented by trajectory data arise from their spatio-temporal nature as well as the uncertainty regarding locations between sampled points. In this paper, we present a data model that treats trajectories as first-class citizens, thus fully capturing their spatio-temporal properties. We...
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By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection. See our privacy policy for more information on the use of your perso...
Remarks:The process of trajectory collection and data transmission is purely anonymous. Specifically, it is not to collect any personal information regarding the vehicles (the vehicle ID has been anonymized as a bit string) as well as the drivers. For the collection of the trajectory dataset, we...
为此,我们提出了Trajectron++,这是一个模块化的、图结构的递归模型,它预测了一定数量的不同代理的轨迹,同时结合了智能体动态和异质数据(例如,语义地图)。Trajectron++被设计为与机器人规划和控制框架紧密集成;例如,它可以产生可选的以自我代理运动计划为条件的预测。我们在几个具有挑战性的真实世界轨迹预测数据集上...