Integrating Mapillary Street-Level Imagery with OpenLayers in Vue 3

In this tutorial, we’ll build MapiLayers — a Vue 3 application that combines OpenLayers maps with Mapillary’s street-level imagery. Users can click on coverage points on the map and instantly view street imagery in a floating panel, complete with a live camera FOV arc that rotates as the user looks around. We’ll use Vue 3 Composition API, Pinia for state […]

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Graham Scan Convex Hull Tutorial | Easy Explanation with Python

Graham Scan is a fast and elegant algorithm for finding the convex hull of a set of points. In this tutorial, we explain the method in simple terms, show how left and right turns work, give pseudocode, and provide a Python implementation. 1. Main idea Imagine many points placed on a sheet. You want to

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Convex Hull Using Jarvis March | Gift Wrapping Tutorial with Python

Jarvis March, also called the Gift Wrapping algorithm, is a simple way to find the convex hull of a set of points. In this tutorial, we explain the idea in layman terms, show how the orientation test works, provide pseudocode, and build a small animation and Python implementation. 1. Main idea in simple words Imagine

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Convex Hull Using Brute Force Method | Easy Explanation, Pseudocode & Python

1. Idea in simple words Imagine many nails hammered into a board.Now stretch a rubber band around all of them. The shape made by the rubber band is called the convex hull. The slow brute force method tries to find which point pairs form the outer boundary. Main thought Take every pair of points and

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Rectangle Union using Line Sweep Algorithm

1. The Problem — Plain English Imagine dropping several cardboard boxes on the floor. Some overlap, some do not. How much floor is actually covered? That’s the Rectangle Union problem. Given N rectangles (some overlapping), find the total area of their union — counting overlapping regions only once. The naive answer — just add up

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Physics-Informed AI for RF Tracking in Multipath Environments

1. Introduction: What Is Physics-Informed AI? Imagine you are trying to locate your phone inside a large shopping mall using radio signals. In an open field, this would be straightforward: the signal travels in a straight line, and by measuring how long it takes to arrive, you can compute the distance. But inside a building,

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Spatial Interpolation in python

Figure: Spatial interpolation creates continuous surfaces from scattered data 1. What is Spatial Interpolation? Spatial interpolation is the process of estimating unknown values at unsampled locations based on known values at sampled locations. It transforms sparse, scattered measurements into a continuous surface. Example: You have temperature readings from 10 weather stations. Spatial interpolation lets you

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Kernel Interpolation in Python: A Complete Beginner’s Guide to Gaussian RBF Kernels and RKHS

Figure: Kernel Interpolation creates smooth curves through data points Keywords: Kernel Interpolation, Gaussian RBF Kernel, RKHS, Kernel Ridge Regression, Python, Machine Learning, Spatial Interpolation Table of Contents 1. What is Kernel Interpolation? 2. Understanding the Gaussian (RBF) Kernel 3. The Kernel Matrix Explained 4. What is RKHS? (Reproducing Kernel Hilbert Space) 5. Kernel Ridge Regression

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