Lidar Robot Navigation The Process Isn't As Hard As You Think > 자유게시판

LiDAR and Robot Navigation

LiDAR is a crucial feature for mobile robots who need to navigate safely. It has a variety of capabilities, including obstacle detection and route planning.

2D lidar scans an area in a single plane, making it simpler and more cost-effective compared to 3D systems. This allows for an enhanced system that can recognize obstacles even if they aren't aligned with the sensor plane.

LiDAR Device

LiDAR (Light Detection and Ranging) sensors employ eye-safe laser beams to "see" the environment around them. By transmitting light pulses and measuring the amount of time it takes for each returned pulse they are able to determine the distances between the sensor and objects within its field of vision. The data is then processed to create a 3D, real-time representation of the region being surveyed known as"point cloud" "point cloud".

The precise sensing prowess of LiDAR provides robots with an knowledge of their surroundings, providing them with the ability to navigate through a variety of situations. Accurate localization is an important benefit, since the technology pinpoints precise locations by cross-referencing the data with existing maps.

LiDAR devices vary depending on their application in terms of frequency (maximum range) and resolution as well as horizontal field of vision. However, the fundamental principle is the same for all models: the sensor sends the laser pulse, which hits the surrounding environment and returns to the sensor. This is repeated thousands per second, creating an enormous collection of points representing the surveyed area.

Each return point is unique and is based on the surface of the object that reflects the pulsed light. Buildings and trees for instance have different reflectance percentages as compared to the earth's surface or water. Light intensity varies based on the distance and scan angle of each pulsed pulse as well.

The data is then compiled into an intricate, three-dimensional representation of the area surveyed known as a point cloud which can be seen through an onboard computer system to assist in navigation. The point cloud can be filtered so that only the area that is desired is displayed.

The point cloud could be rendered in a true color by matching the reflected light with the transmitted light. This allows for a better visual interpretation, as well as an improved spatial analysis. The point cloud may also be tagged with GPS information that provides temporal synchronization and accurate time-referencing that is beneficial for quality control and time-sensitive analyses.