Design and development of a DDDAMS-based border surveillance system via UVs and hybrid simulations
作者：
Highlights：
• An effective and efficient control framework for UAV/UGV coordination is proposed.
• The detection and classification algorithms are developed to process real-time data.
• Physics-based simulation is utilized to provide uncertainties for robust planning and control of UVs.
• Target's proactive behaviors are represented based on utility-based decision-making model.
• The framework is demonstrated for a hardware-in-the-loop simulation environment.
摘要
•An effective and efficient control framework for UAV/UGV coordination is proposed.•The detection and classification algorithms are developed to process real-time data.•Physics-based simulation is utilized to provide uncertainties for robust planning and control of UVs.•Target's proactive behaviors are represented based on utility-based decision-making model.•The framework is demonstrated for a hardware-in-the-loop simulation environment.
论文关键词：Surveillance,Physics-based simulation,Unmanned vehicles,Real-time detection,Human-behavior analysis,Autonomous control
论文评审过程：Received 20 October 2018, Revised 17 March 2019, Accepted 18 March 2019, Available online 19 March 2019, Version of Record 27 March 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.03.034
