Turf is a JavaScript library for spatial analysis. It includes traditional spatial operations, helper functions for creating GeoJSON data, and data classification and statistics tools. Turf can be added to your website as a client-side plugin, or you can run Turf server-side with Node.js (see below).Download the minified file, and include it in a script tag. This will expose a global variable named turf.
algorithm computational-geometry geojson turf gis geo geojs geospatial geography geometry map contour centroid tin extent grid polygon line point area analysis statistics stats midpoint plane quantile jenks sampleAPM Planner Ground Control Station (Qt)
gcs ground-control-station ardupilot arducopter arduplane autopilot pixhawk apm-planner ardurover copter plane autonomous-vehicles ros open-source robot-operating-systemDisclaimer: I'm trying out the Amazon Affiliate Program to support my free open source work. So if you decide to buy an RTL-SDR dongle using one of the links above I'll be grateful (the search link should work as well).For more information about buying RTL-SDR dongles, check out the RTL-SDR.com blog buyers guide.
rtl-sdr sdr ads-b map live plot browser modes mode-s adsb rtlsdr librtlsdr radio aircraft airplane airplanes plane 1090 1090mhzA JavaScript module for demodulating and decoding Mode S / ADS-B messages from aviation aircrafts.Mode S is an aviation transponder interrogation mode used by Secondary Surveillance Radar (SSR) and Automatic Dependent Surveillance-Broadcast (ADS-B) systems.
decode decoder demodulate demodulator modes mode-s adsb ads-b sdr rtlsdr rtl-sdr librtlsdr radio aircraft airplane airplanes plane 1090 1090mhzTake a transformation matrix like you're used to constructing with WebGL, and project arbitrary 3D points onto your 2D screen.You can use this to take a point in your WebGL scene and get its onscreen position on the canvas, e.g. to add DOM element overlays, or bootstrapping your own canvas/SVG.
project 3d webgl matrix vector point 2d plane perspective camera transformThis repository contains the official PyTorch implementation of the paper: Yichao Zhou, Shichen Liu, Yi Ma. "NeRD: Neural 3D Reflection Symmetry Detector". CVPR 2021. We present NeRD, a Neural 3D Reflection Symmetry Detector, which combines the strength of learning-based recognition and geometry-based reconstruction to accurately recover the normal direction of objects' mirror planes. NeRD uses coarse-to-fine strategy to enumerate the symmetry planes and then find the best ones by building 3D cost volumes to examine the intra-image pixel correspondence from the symmetry.
plane paper prediction reconstruction reflection-symmetryThis repository has a LiDAR-inertial 3D plane simulator in it that allows for custom trajectory through 3D enviroments to be created, and a sensor suite to be sent through it at a given rate. The simplest way to get started is to clone this repository into your ROS workspace, and play around with the example datasets. Please read the guides below on how to get started, and see the ReadMe files in the package directories for more details on each package. Here is a video of a LiDAR-inertial estimator runnning on the top of this simulator. The paper leveraging this simulator "LIPS: LiDAR-Inertial 3D Plane SLAM" will be presented at IROS 2018.
plane simulation lidar inertial-sensors ros-kineticIf you find this project useful please consider a donation.
plane openframeworks addon intersection ray raycasting intersection-point 2d-ray intersection-methods
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