Development of mesoscale robots is gaining interest in security and surveillance domains due to their stealth and portable nature in achieving tasks.Their design and development require a host of hardware,controls,and...Development of mesoscale robots is gaining interest in security and surveillance domains due to their stealth and portable nature in achieving tasks.Their design and development require a host of hardware,controls,and behavioral innovations to yield fast,energy-efficient,distributed,adaptive,robust,and scalable systems.We extensively describe one such design and development process by:(1)the genealogy of our embedded platforms;(2)the key system architecture and functional layout;(3)the developed and implemented design principles for mesoscale robotic systems;(4)the various key algorithms developed for effective collective operations of mesoscale robotic swarms,with applications to urban sensing and mapping.This study includes our perception of the embedded hardware requirements for reliable operations of mesoscale robotic swarms and our description of the key innovations made in magnetic sensing,indoor localization,central pattern generator control,and distributed autonomy.Although some elements of the design process of such a complex robotic system are inevitably ad-hoc,we focus on the system-of-systems design process and the component design integration.This system-of-systems process provides a basis for developing future systems in the field,and the designs represent the state-of-the-art development that may be benchmarked against and adapted to other applications.展开更多
手机信令数据被广泛应用于城市人群的动态特征分析,但其分析结果的不确定性尚不明确。因此,提出一种多源数据验证的不确定性分析方法。将从手机信令数据中提取的分布特征与多源数据进行对比,用人群代表性、转移覆盖率、聚集一致性3个指...手机信令数据被广泛应用于城市人群的动态特征分析,但其分析结果的不确定性尚不明确。因此,提出一种多源数据验证的不确定性分析方法。将从手机信令数据中提取的分布特征与多源数据进行对比,用人群代表性、转移覆盖率、聚集一致性3个指标评价分析结果的不确定性。并基于深圳市手机信令数据,选取了城市感知中人群分布、区域流动、热点识别3个典型城市动态特征,用人口网格分布、营运车辆GPS数据、高德兴趣点(point of interest,POI)等数据集对手机信令数据的分析结果进行验证,得出该区域手机信令数据分析结果的不确定性特征。展开更多
基金Project supported by the TL@SUTD-Systems Technology for Autonomous Reconnaissance & Surveillancethe SUTD-MIT International Design Center
文摘Development of mesoscale robots is gaining interest in security and surveillance domains due to their stealth and portable nature in achieving tasks.Their design and development require a host of hardware,controls,and behavioral innovations to yield fast,energy-efficient,distributed,adaptive,robust,and scalable systems.We extensively describe one such design and development process by:(1)the genealogy of our embedded platforms;(2)the key system architecture and functional layout;(3)the developed and implemented design principles for mesoscale robotic systems;(4)the various key algorithms developed for effective collective operations of mesoscale robotic swarms,with applications to urban sensing and mapping.This study includes our perception of the embedded hardware requirements for reliable operations of mesoscale robotic swarms and our description of the key innovations made in magnetic sensing,indoor localization,central pattern generator control,and distributed autonomy.Although some elements of the design process of such a complex robotic system are inevitably ad-hoc,we focus on the system-of-systems design process and the component design integration.This system-of-systems process provides a basis for developing future systems in the field,and the designs represent the state-of-the-art development that may be benchmarked against and adapted to other applications.
文摘手机信令数据被广泛应用于城市人群的动态特征分析,但其分析结果的不确定性尚不明确。因此,提出一种多源数据验证的不确定性分析方法。将从手机信令数据中提取的分布特征与多源数据进行对比,用人群代表性、转移覆盖率、聚集一致性3个指标评价分析结果的不确定性。并基于深圳市手机信令数据,选取了城市感知中人群分布、区域流动、热点识别3个典型城市动态特征,用人口网格分布、营运车辆GPS数据、高德兴趣点(point of interest,POI)等数据集对手机信令数据的分析结果进行验证,得出该区域手机信令数据分析结果的不确定性特征。
