VeloView VS LiDAR-Guide

Compare VeloView vs LiDAR-Guide 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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VeloView LiDAR-Guide
1 1
313 62
0.0% -
2.6 3.2
over 2 years ago 4 months ago
C++ Python
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.

VeloView

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

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.

What are some alternatives?

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

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

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

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

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.

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

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

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

Data-Engineering-Roadmap - Roadmap for Data Engineering