Artificial Intelligence Techniques in Smart Cities Surveillance Using UAVs: A Survey
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-72065-0_18
Reference103 articles.
1. Silva, B. N., Khan, M., & Han, K. (2018). Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities. Sustainable Cities and Society, 38, 697–713.
2. Shahidehpour, M., Li, Z., & Ganji, M. (2018). Smart cities for a sustainable urbanization: Illuminating the need for establishing smart urban infrastructures. IEEE Electrification Magazine, 6(2), 16–33.
3. Yin, C., Xiong, Z., Chen, H., Wang, J., Cooper, D., & David, B. (2015). A literature survey on smart cities. Science China Information Sciences, 58(10), 1–18.
4. Srinivasan, S., Latchman, H., Shea, J., Wong, T., & McNair, J. (2004). Airborne traffic surveillance systems: Video surveillance of highway traffic. In Proceedings of the ACM 2nd International Workshop on Video Surveillance & Sensor Networks (pp. 131–135).
5. Gurwicz, Y., Yehezkel, R., & Lachover, B. (2011). Multiclass object classification for real-time video surveillance systems. Pattern Recognition Letters, 32(6), 805–815.
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Privacy’s Sky-High Battle: The Use of Unmanned Aircraft Systems for Law Enforcement in the European Union;Journal of Intelligent & Robotic Systems;2024-07-09
2. Applying deep learning to real-time UAV-based forest monitoring: Leveraging multi-sensor imagery for improved results;Expert Systems with Applications;2024-07
3. The Assessment of Artificial Intelligence for Business Performance in Bangladesh;Advances in Business Information Systems and Analytics;2024-03-18
4. Estimation model of wild fractional vegetation cover based on RGB vegetation index and its application;Open Geosciences;2024-01-01
5. Large Language Models for UAVs: Current State and Pathways to the Future;IEEE Open Journal of Vehicular Technology;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3