Shaofei Chen

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Land cover classification for the evaluation of land cover changes over certain areas or time periods is crucial for geospatial modeling, environmental crisis evaluation and urban open space planning. Remotely sensed images of various spatial and spectral resolutions make it possible to classify land covers on the level of pixels. Semantic meanings of large(More)
We investigate a decentralized patrolling problem for dynamic environments where information is distributed alongside threats. In this problem, agents obtain information at a location, but may suffer attacks from the threat at that location. In a decentralized fashion, each agent patrols in a designated area of the environment and interacts with a limited(More)
Motion planning for unmanned combat aerial vehicle (UCAV) penetration in the presence of radar-guided surface to air missiles (SAMs) is studied. Firstly, the integrated model, involving nonlinear dynamic model and radar cross section (RCS) of UCAV, detection and tracking model of radar, is built. Four aspects of radar tracking features and their(More)
This paper studies a search problem involving a robot that is searching for a certain item in an uncertain environment (e.g., searching minerals on Moon) that allows only limited interaction with humans. The uncertainty of the environment comes from the rewards of undiscovered items and the availability of costly human help. The goal of the robot is to(More)
Pseudospectral methods PMs for solving general optimal control problems OCPs attract an increasing amount of research and application in engineering. It is challenging to improve the convergence rate, the solution accuracy, and the applicability of PMs, especially for nonsmooth problems. Existing hp-adaptive PMs consider only one heuristic criterion, which(More)
We investigate a multi-agent patrolling problem where information is distributed alongside threats in environments with uncertainties. Specifically, the information and threat at each location are independently modelled as multi-state Markov chains, whose states are not observed until the location is visited by an agent. While agents will obtain information(More)
This paper studies the problem of planning collision-free dynamically feasible trajectories for a team of autonomous unmanned aerial vehicles (UAVs) in real-time, where the UAVs try to fly through a complex 3-D environment to reach their specified destinations. First, the cooperative trajectory planning problem is mathematically formulated as a(More)
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