PATH PLANNING AND REAL-TIME COLLISION AVOIDANCE BASED ON THE ESSENTIAL VISIBILITY GRAPH


A Review of Closed-Form Cramér-Rao Bounds for DOA Estimation in the Presence of Gaussian Noise Under a Unified Framework

The Cramér-Rao Bound (CRB) for direction of arrival (DOA) estimation has been extensively studied over the past four decades, with a plethora of CRB expressions reported for various parametric models.In the literature, there are different methods to derive a closed-form CRB expression, but many derivations tend to involve intricate matrix m

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Development of Machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations

Accurate information about the available standing biomass on pastures is critical Vintage Posters for the adequate management of grazing and its promotion to farmers.In this paper, machine learning models are developed to predict available biomass expressed as compressed sward height (CSH) from readily accessible meteorological, optical (Sentinel-2

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