LiDAR-Guide VS VeloView

Compare LiDAR-Guide vs VeloView and see what are their differences.

VeloView

VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne. (by Kitware)
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LiDAR-Guide VeloView
1 1
57 313
- 0.0%
3.2 2.6
4 months ago over 2 years ago
Python C++
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

LiDAR-Guide

Posts with mentions or reviews of LiDAR-Guide. We have used some of these posts to build our list of alternatives and similar projects.

VeloView

Posts with mentions or reviews of VeloView. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing LiDAR-Guide and VeloView you can also consider the following projects:

Photogrammetry-Guide - Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.

metroboy - A repository of gate-level simulators and tools for the original Game Boy.

softlearning - Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

lidarslam_ros2 - ROS 2 package of 3D lidar slam using ndt/gicp registration and pose-optimization

awesome-experimental-standards-deep-learning - Repository collecting resources and best practices to improve experimental rigour in deep learning research.

LIO-SAM - LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

Data-Engineering-Roadmap - Roadmap for Data Engineering

TFLuna-I2C - Arduino library for the Benewake TFLuna LiDAR distance sensor in the I2C communication mode