Three dimensional detection of automatic driving vehicle roof frame

Automatic driving is the top of the wave of artificial intelligence, and it is also the application of AI robot that has the greatest social impact in this century. Through the most advanced artificial intelligence and a large number of data on complex urban road conditions in China, build a core car brain system and platform for automatic driving, integrate hardware and software systems, and be compatible with more models.

Pracical problems

1. customers are intelligent driving technology research and development enterprises, want to use three-dimensional scanner to measure whether the roof of the autopilot car is parallel to the ground. Autonomous driving vehicles rely on artificial intelligence, visual computing, radar, monitoring devices and GPS to cooperate with each other, enabling the computer to operate the motor vehicle automatically and safely without any human initiative.
2. Autopilot uses video cameras, radar sensors and laser rangefinder to understand traffic conditions around. To ensure that the roof frame is completely parallel to the ground, the information fed back by radar and camera will be more accurate and safer.

Car roof frame scanning site

Solutions

Customers find Huaguang to provide solutions: use the handheld laser 3D scanner Holon B71 to quickly obtain high-precision 3D data of roof frame. The 3D scanner Holon B71 adopts 22 laser lines + 14 fine modes + 1 deep hole mode, with fast scanning speed of 1350000 measurements / s, high scanning accuracy of 0.02mm and real-time visualization of scanning data.
By scanning the three-dimensional data of the car roof frame and comparing it with the car digital model, we can obtain a simple and understandable three-dimensional detection report, so as to judge the levelness and position of the roof frame, so as to carry out processing and rectification.

STL data diagram of automobile roof frame

Comparative inspection drawing of automobile roof frame