mikeroyal/LiDAR-Guide
LiDAR Guide
This guide helps engineers, researchers, and geospatial professionals understand and utilize LiDAR technology for various applications. It provides resources on LiDAR concepts, data processing techniques, and a comprehensive overview of software tools and frameworks. Users can learn how to acquire, process, and analyze LiDAR point cloud data to create detailed 3D models and maps.
No commits in the last 6 months.
Use this if you are a professional or student looking to learn about LiDAR, its applications, and the software tools available for working with LiDAR data.
Not ideal if you are a developer seeking a specific code library or API documentation to integrate LiDAR functionality into an existing software project.
Stars
99
Forks
16
Language
Python
License
—
Category
Last pushed
Jan 04, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mikeroyal/LiDAR-Guide"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MediaTek-NeuroPilot/mai21-learned-smartphone-isp
The official codebase for the Learned Smartphone ISP Challenge in MAI @ CVPR 2021
ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post
365 Days Computer Vision Learning Linkedin Post
amusi/daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
extreme-assistant/ICCV2023-Paper-Code-Interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
extreme-assistant/survey-computer-vision-2020
2020-2021年计算机视觉综述论文分方向整理