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#

spatial-mapping

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Here are 8 public repositories matching this topic...

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All 8 C 1 C# 1 C++ 1 Jupyter Notebook 1 Python 1 R 1

stereolabs / zed-ros2-wrapper

Star 341

ROS 2 wrapper for the ZED SDK

robotics point-cloud object-detection slam stereo-vision ros2 skeleton-tracking visual-odometry zed-camera spatial-mapping ros2-wrapper
  • Updated Nov 2, 2026
  • C++

MarcYin / spatial_mapping

Star 3

A spatial mapping for coarse and high resolution satelite images

spatial-mapping
  • Updated Aug 4, 2017
  • Jupyter Notebook

aetherium-ui-automation / aetherium

Star 2

AI-driven UI Automation engine for ERP, CRM, and Financial platforms. Supports Headless CLI, Spatial Mapping, and Hybrid Blueprint execution. Faster than Selenium/Playwright for complex enterprise web apps.

test-automation dotnet-core ui-automation enterprise-software ui-automated-tests software-testing low-code gui-automation rpa spatial-mapping ai-automation ui-automation-framework headless-automation ui-automation-tool ui-automation-testing
  • Updated May 30, 2026

sGambolati / SpatialDemo

Star 1
hololens holotoolkit spatial-mapping
  • Updated Feb 29, 2024
  • C#

Carllado / sense-ai-lidar-mapping

Star 0

LiDAR-based 2D mapping, sensor characterization, and environmental change detection using RPLIDAR C1M1 and Python.

python embedded-systems lidar rplidar change-detection spatial-mapping sensor-characterization 2d-mapping
  • Updated Oct 30, 2026
  • Python

YASHK-arch / memeraki-plugin

Star 0

AI-powered multi-agent plugin for MeMeraki that analyzes room interiors, recommends paintings and frames, and generates realistic previews of artwork on your walls.

computer-vision image-generation recommendation-engine multi-agent-systems interior spatial-mapping langgraph virtual-visualization
  • Updated Nov 7, 2026

Acerplatanoides1 / Coordinate-transformation-for-mapping

Star 0
r spatial-data coordinate-transformation spatial-mapping
  • Updated Aug 29, 2018
  • R

itsRGit / Spatial-Mapping-System

Star 0

An advanced spatial mapping system developed to capture and visualize 3D environments in real-time using cutting-edge sensors and algorithms. Ideal for applications in robotics, AR/VR, and autonomous navigation.

computer-vision robotics sensor-fusion 3d-visualization real-time-systems spatial-mapping mapping-algorithms autonomous-navigation
  • Updated Aug 13, 2024
  • C

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