4 results found
Wang Y, O'Keeffe J, Qian Q, et al., 2022, Interpretable Stochastic Model Predictive Control using Distributional Reinforced Estimation for Quadrotor Tracking Systems, 2022 IEEE 61st Conference on Decision and Control (CDC), Publisher: IEEE
Wang Y, O'Keeffe J, Qian Q, et al., 2022, KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments, 2022 IEEE International Conference on Robotics and Automation (ICRA), Publisher: IEEE
Xiao G, Wang Y, He F, 2019, Research on safety modeling and analysis in information fusion system, Aerospace Systems, Vol: 2, Pages: 51-60, ISSN: 2523-3947
Wang Y, Xiao G, Dai Z, 2017, Integrated display and simulation for automatic dependent surveillance–broadcast and traffic collision avoidance system data fusion, Sensors, Vol: 17, Pages: 1-23, ISSN: 1424-8220
Automatic Dependent Surveillance–Broadcast (ADS-B) is the direction of airspace surveillance development. Research analyzing the benefits of Traffic Collision Avoidance System (TCAS) and ADS-B data fusion is almost absent. The paper proposes an ADS-B minimum system from ADS-B In and ADS-B Out. In ADS-B In, a fusion model with a variable sampling Variational Bayesian-Interacting Multiple Model (VSVB-IMM) algorithm is proposed for integrated display and an airspace traffic situation display is developed by using ADS-B information. ADS-B Out includes ADS-B Out transmission based on a simulator platform and an Unmanned Aerial Vehicle (UAV) platform. This paper describes the overall implementation of ADS-B minimum system, including theoretical model design, experimental simulation verification, engineering implementation, results analysis, etc. Simulation and implementation results show that the fused system has better performance than each independent subsystem and it can work well in engineering applications.
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