Self-driving trucks utilize which technology for navigation and obstacle detection?

Self-driving trucks primarily utilize LIDAR (Light Detection and Ranging) technology for navigation and obstacle detection due to its high precision and ability to create detailed three-dimensional maps of the environment. LIDAR works by sending out laser beams and measuring the time it takes for the light to bounce back from objects, which allows the system to gauge distances accurately. This technology excels in detecting and identifying various obstacles, including other vehicles, pedestrians, and road signs, which is essential for safe and effective autonomous driving.

LIDAR's range and accuracy make it particularly suitable for operating in complex environments where precise navigation is crucial. While other technologies, such as camera systems and infrared sensors, can assist in providing supplementary information and supporting functions in self-driving trucks, LIDAR is considered a cornerstone technology for the primary task of spatial awareness and obstacle detection. This multidimensional data processing capability helps ensure that self-driving trucks can operate safely and efficiently, even in challenging conditions.