Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Wei, Shiqing"'
Extracting dynamic models from data is of enormous importance in understanding the properties of unknown systems. In this work, we employ Lipschitz neural networks, a class of neural networks with a prescribed upper bound on their Lipschitz constant,
Externí odkaz:
http://arxiv.org/abs/2410.21234
Autor:
Wei, Shiqing, Khorrambakht, Rooholla, Krishnamurthy, Prashanth, Gonçalves, Vinicius Mariano, Khorrami, Farshad
Ensuring the safety of dynamical systems is crucial, where collision avoidance is a primary concern. Recently, control barrier functions (CBFs) have emerged as an effective method to integrate safety constraints into control synthesis through optimiz
Externí odkaz:
http://arxiv.org/abs/2410.19159
Extracting building contours from remote sensing imagery is a significant challenge due to buildings' complex and diverse shapes, occlusions, and noise. Existing methods often struggle with irregular contours, rounded corners, and redundancy points,
Externí odkaz:
http://arxiv.org/abs/2406.02930
Designing control inputs that satisfy safety requirements is crucial in safety-critical nonlinear control, and this task becomes particularly challenging when full-state measurements are unavailable. In this work, we address the problem of synthesizi
Externí odkaz:
http://arxiv.org/abs/2403.09067
Stabilizing controller design and region of attraction (RoA) estimation are essential in nonlinear control. Moreover, it is challenging to implement a control Lyapunov function (CLF) in practice when only partial knowledge of the system is available.
Externí odkaz:
http://arxiv.org/abs/2303.09678
Deep learning based methods have significantly boosted the study of automatic building extraction from remote sensing images. However, delineating vectorized and regular building contours like a human does remains very challenging, due to the difficu
Externí odkaz:
http://arxiv.org/abs/2211.03373
In this paper, we introduce a new building dataset and propose a novel domain generalization method to facilitate the development of building extraction from high-resolution remote sensing images. The problem with the current building datasets involv
Externí odkaz:
http://arxiv.org/abs/2208.10004
Contour-based instance segmentation methods have developed rapidly recently but feature rough and hand-crafted front-end contour initialization, which restricts the model performance, and an empirical and fixed backend predicted-label vertex pairing,
Externí odkaz:
http://arxiv.org/abs/2203.04074
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing March 2024 209:213-232
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