The construction industry is embracing transformation through the integration of digitization, artificial intelligence (AI), and immersive technologies. On a construction site, continuous assessment ...

The YDLiDar_GS2 library provides an easy-to-use interface for integrating the YDLiDar GS2 Static LiDAR with Arduino-compatible platforms. It allows users to easily configure and control the GS2 LiDAR, ...

Although there are plenty of methods for effectively imaging a 3D space, LIDAR is widely regarded as one of the most effective methods. These systems use a rapid succession of laser pulses over a wide ...

MentorPi is a ROS2-compatible robot car powered by the Raspberry Pi 5, designed for AI-driven robotics and Python programming. It offers two chassis options: MentorPi-M1, which features a ...

Rather than spending hundreds or even thousands of pounds on a 3D scanner, you might be interested to know that it is possible to use an Xbox Kinect to create an affordable alternative. This guide by ...

Lidar plays a key role in cartography, mapping, localisation, ADAS, environment scanning, and more. It is widely used in robots, autonomous vehicles, and for intruder monitoring. However, many systems ...

Abstract: This project outlines the development of a mobile localization robot using ROS Noetic that is based on Lidar-SLAM technology. Using a RPlidar sensor and the SLAM algorithm, the robot is ...

What is an Arduino Obstacle Avoiding Car? An Arduino obstacle avoiding car is an autonomous mobile robot that's designed to identify obstacles that are in its way and make decisions to navigate around ...

Why are Green Lasers Used in LiDAR? Light Detection and Ranging (LiDAR) is an advanced remote sensing technique that uses pulsed laser light to measure distances and generate a three-dimensional ...

Indoor navigation robots, which have been developed using a robot operating system, typically use a direct current motor as a motion actuator. Their control algorithm is generally complex and requires ...