Cars can already park themselves today – but what comes next? Automated highway driving or the possibility of taking a nap at the wheel? What does German legislation look like and what do the users want?
For vehicles to be able to drive autonomously, they must perceive their surroundings with the help of sensors: An overview of camera, radar, ultrasonic and LiDAR sensors.
The development stages up to the autonomous vehicle are divided into five levels. What does this classification look like and how are the individual levels characterized?
The fleet management of car rental companies becomes more efficient with a smart infrastructure: LiDAR sensors enable remote control of vehicles and smart parking.
LiDAR can help agriculture increase yields and use land more efficiently through detailled monitoring. The technology is thus preparing the agricultural sector for the future.
Lidar technology emerged already in the 60s and has evolved from application in aeronautics and aerospace to areas of environment detection such as autonomous driving today.
What happens after a LiDAR sensor has collected data? How is information generated from point clouds that can be used to implement applications like crowd management?
In order to meet automotive requirements, LiDARs need to be highly performant and scalable. MEMS-based LiDARs are a suitable solution. But how is the size of the mirrors defined?
Congestion is a major problem in cities worldwide – integrating LiDAR sensors into the infrastructure can optimize traffic flow with the help of precise 3D data.
LiDARs have struggled with problems such as performance, robustness and scalability. Blickfeld’s technology ensures mass market readiness for LiDARs.