DDDAS-based Information-Aggregation for Crowd Dynamics Modeling with UAVs and UGVs
Unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) collaboratively play important roles in crowd tracking for applications such as border patrol and crowd surveillance. Dynamic data-driven application systems (DDDAS) paradigm has been developed for these applications to take advanta...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2015-04-01
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| Series: | Frontiers in Robotics and AI |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/frobt.2015.00008/full |
| _version_ | 1830476639977340928 |
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| author | Yifei eYuan Mingyang eLi Young-Jun eSon Jian eLiu |
| author_facet | Yifei eYuan Mingyang eLi Young-Jun eSon Jian eLiu |
| author_sort | Yifei eYuan |
| collection | DOAJ |
| description | Unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) collaboratively play important roles in crowd tracking for applications such as border patrol and crowd surveillance. Dynamic data-driven application systems (DDDAS) paradigm has been developed for these applications to take advantage of real-time monitoring data. In the DDDAS paradigm, one crucial step in crowd surveillance is crowd dynamics modeling, which is based on multi-resolution crowd observation data collected from both UAVs and UGVs. Data collected from UAVs capture global crowd motion but have low resolution while those from UGVs have high resolution information of local crowd motion. This paper proposes an information-aggregation approach for crowd dynamics modeling by incorporating multi-resolution data, where a grid-based method is developed to model crowd motion with UAVs’ low-resolution global perception, and an autoregressive model is employed to model individuals’ motion based on UGVs’ detailed perception. A simulation experiment is provided to illustrate and demonstrate the effectiveness of the proposed approach. |
| first_indexed | 2024-12-21T15:56:17Z |
| format | Article |
| id | doaj.art-9895ec5c55f440f7aa96d1ceaabe4847 |
| institution | Directory Open Access Journal |
| issn | 2296-9144 |
| language | English |
| last_indexed | 2024-12-21T15:56:17Z |
| publishDate | 2015-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Robotics and AI |
| spelling | doaj.art-9895ec5c55f440f7aa96d1ceaabe48472022-12-21T18:58:05ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442015-04-01210.3389/frobt.2015.00008127095DDDAS-based Information-Aggregation for Crowd Dynamics Modeling with UAVs and UGVsYifei eYuan0Mingyang eLi1Young-Jun eSon2Jian eLiu3University of ArizonaUniversity of ArizonaUniversity of ArizonaUniversity of ArizonaUnmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) collaboratively play important roles in crowd tracking for applications such as border patrol and crowd surveillance. Dynamic data-driven application systems (DDDAS) paradigm has been developed for these applications to take advantage of real-time monitoring data. In the DDDAS paradigm, one crucial step in crowd surveillance is crowd dynamics modeling, which is based on multi-resolution crowd observation data collected from both UAVs and UGVs. Data collected from UAVs capture global crowd motion but have low resolution while those from UGVs have high resolution information of local crowd motion. This paper proposes an information-aggregation approach for crowd dynamics modeling by incorporating multi-resolution data, where a grid-based method is developed to model crowd motion with UAVs’ low-resolution global perception, and an autoregressive model is employed to model individuals’ motion based on UGVs’ detailed perception. A simulation experiment is provided to illustrate and demonstrate the effectiveness of the proposed approach.http://journal.frontiersin.org/Journal/10.3389/frobt.2015.00008/fullsurveillanceDDDASgrid-basedCrowd trackingMulti-resolution dataUAVs and UGVs |
| spellingShingle | Yifei eYuan Mingyang eLi Young-Jun eSon Jian eLiu DDDAS-based Information-Aggregation for Crowd Dynamics Modeling with UAVs and UGVs Frontiers in Robotics and AI surveillance DDDAS grid-based Crowd tracking Multi-resolution data UAVs and UGVs |
| title | DDDAS-based Information-Aggregation for Crowd Dynamics Modeling with UAVs and UGVs |
| title_full | DDDAS-based Information-Aggregation for Crowd Dynamics Modeling with UAVs and UGVs |
| title_fullStr | DDDAS-based Information-Aggregation for Crowd Dynamics Modeling with UAVs and UGVs |
| title_full_unstemmed | DDDAS-based Information-Aggregation for Crowd Dynamics Modeling with UAVs and UGVs |
| title_short | DDDAS-based Information-Aggregation for Crowd Dynamics Modeling with UAVs and UGVs |
| title_sort | dddas based information aggregation for crowd dynamics modeling with uavs and ugvs |
| topic | surveillance DDDAS grid-based Crowd tracking Multi-resolution data UAVs and UGVs |
| url | http://journal.frontiersin.org/Journal/10.3389/frobt.2015.00008/full |
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