The application of AI in the field of autonomous driving is comprehensively rewriting the "brain" and "n...
Obstacle recognition method based on point cloud In fact, LiDAR provides a 3D point cloud—a set of discrete points with...
Mechanical LiDAR relies on a motor-driven turntable or prism to achieve 360-degree rotation scanning of the laser beam;...
Since then, radar technology has continued to develop, becoming a crucial enabling technology for automotive functional...
For autonomous vehicles to navigate safely and efficiently in complex and ever-changing road environments, they are aki...
Environmental perception, as the "meta-sensory" of autonomous driving, plays a crucial role in ensuring vehic...
I. Power Consumption Sources and Heat Dissipation Requirements The power consumption of a LiDAR system mainly comes fro...
I. Advantages of LiDAR 1. Ultra-high resolution: The short operating wavelength of lidar gives it extremely high resolu...
I. Principles and Classification of LiDAR The basic working principle of lidar is based on the concept of Time of Fligh...
I. Working Principle and Application of LiDAR LiDAR (Light Detection and Ranging), also known as lidar, is an active re...
I. Overview of the Working Principle of LiDAR LiDAR, short for Laser Radar, is an active sensor that uses a laser beam ...
By fusing multiple sensors, autonomous driving systems can obtain a more accurate model, thereby improving their safety...
At the heart of these IoT devices is ubiquitous cloud computing and machine learning, processes enabled by connectivity...
In its most fundamental sense, telematics combines telecommunications technology with informatics—the science of comput...