
The principle involves synthesizing images provided by four 180-degree wide-angle cameras installed at the front, rear, and both sides of the vehicle into a bird's-eye view displayed on the in-car monitor. Below are the relevant details: 1. Image signals: Typically, cameras on both side mirrors, the front, and the rear of the vehicle capture images simultaneously. These image signals are converted into electrical signals, undergo digital-to-analog conversion, and are then processed and synthesized again into image signals by the processor, ultimately forming a simulated bird's-eye view on the vehicle's display screen. 2. No blind spots in all directions: It's important to note that six cameras are necessary to ensure complete coverage without blind spots in all directions. With only four cameras, certain areas may not be accurately represented, relying on the vehicle's computer for virtual synthesis.

Testing the surround-view camera system is particularly fascinating in automotive electronics R&D. The core lies in the fisheye lens optical distortion correction algorithm and real-time image stitching technology. Each camera captures 60 frames per second, with the processor first correcting barrel distortion using bilinear interpolation algorithms, then stitching four images together through feature point matching. The most computationally intensive function is dynamic trajectory prediction - the system acquires steering wheel angle data in real-time to overlay vector steering trajectory lines on the video stream. When obstacles enter the 30cm danger zone, the buzzer triggering accuracy error remains within 3cm.


