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멀티모달 센서 기반 실외 경비로봇 기술 개발 현황

Trend of Technology for Outdoor Security Robots based on Multimodal Sensors

  • 발행 : 2022.02.01

초록

With the development of artificial intelligence, many studies have focused on evaluating abnormal situations by using various sensors, as industries try to automate some of the surveillance and security tasks traditionally performed by humans. In particular, mobile robots using multimodal sensors are being used for pilot operations aimed at helping security robots cope with various outdoor situations. Multiagent systems, which combine fixed and mobile systems, can provide more efficient coverage (than that provided by other systems), but network bottlenecks resulting from increased data processing and communication are encountered. In this report, we will examine recent trends in object recognition and abnormal-situation determination in various changing outdoor security robot environments, and describe an outdoor security robot platform that operates as a multiagent equipped with a multimodal sensor.

키워드

과제정보

본 연구는 미래창조과학부 및 정보통신기술진흥센터의 정보 통신·방송 연구개발 사업의 일환으로 수행하였음[2017-0-00306, 실외 무인경비로봇을 위한 멀티모달 지능형 정보분석 기술개발].

참고문헌

  1. https://youtu.be/vJZckHFL-Nc
  2. https://otsaw.com/o-r3-security-robot/
  3. https://www.knightscope.com/
  4. https://www.seqsense.com/product/
  5. https://tech.hyundaimotorgroup.com/kr/convergence/robotics
  6. S. Meghana et al., "Design and implementation of surveillance robot for outdoor security," in Proc. IEEE Int. Conf. Recent Trends Electron., Inf. Commun. Technol. (RTEICT), (Bangalore, India), May 2017, pp. 1679-1682.
  7. P. Chakravarty et al., "Anomaly detection and tracking for a patrolling robot," in Proc. Australas. Conf. Robot. Autom. (ACRA), (Brisbane, Australia), Dec. 2007.
  8. D. Di Paola et al., "An autonomous mobile robotic system for surveillance of indoor environments," Int. J. Adv. Robotic Syst., vol. 7, no. 1, 2010.
  9. T. Uhm et al., "Multi-modal sensor calibration method for intelligent unmanned outdoor security robot," in Proceedings of the Sixth International Conference on Green and Human Information Technology, vol. 502, Springer, Singapore, Singapore, 2019, pp. 215-220.
  10. 이호준, 정인섭, 곽노준, "멀티모달 센서를 활용한 객체 검출 프레임워크," 제16회 한국로봇종합학술대회, 2021. 5.
  11. 이규왕, 엄대호, 최진영, "움직이는 카메라에 강인한 다중 객체 추적 및 행동 RGBD 분류 프레임워크," 제16회 한국로봇종합학술대회, 2021. 5.
  12. 나기인, 장지호, 신호철, "멀티모달 센서를 이용한 멀티 에이전트의 다계층 전역 환경 지도 작성," 제15회 한국로봇종합학술대회, 2020. 8., pp. 404-405.