Multi-Camera Vehicle Vision System with Stitched Surround View
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle vision systems face challenges in providing comprehensive views of the vehicle's surroundings, including blind spots and rear views, with existing solutions often requiring high-resolution imagers and lenses with extreme distortion, making them costly and complex.
Innovation Solution
A multi-camera system is implemented with strategically positioned cameras, including wide-angle and rearview cameras, to capture and stitch images, providing a surround view and blind spot detection, using standard lenses and image processing to create a virtual top-down view, reducing the need for high distortion lenses and improving image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If high-resolution imagers and extreme distortion lenses are used to capture comprehensive vehicle surroundings, then the field of view and image quality are improved, but the system cost and complexity increase
Solution Approach 1:
The system divides the vehicle surround view into multiple separate camera fields of view, with each camera capturing a specific sector (front, rear, left, right). These segmented views are then stitched together to form a complete 360-degree panorama, eliminating the need for single high-complexity wide-angle lenses while achieving comprehensive coverage.
Solution Approach 2:
Multiple standard-resolution camera images are merged and stitched together to create a composite surround view image. This combining approach achieves the equivalent field of view of extreme distortion lenses while using simpler, lower-cost standard cameras and lenses.
2Measurement precision
If high-resolution imagers and extreme distortion lenses are used to capture comprehensive vehicle surroundings, then the field of view and image quality are improved, but the system cost increases
Solution Approach 1:
By segmenting the surround view into multiple standard-resolution camera captures, the system avoids the need for expensive high-resolution extreme-wide-angle lenses. Each camera uses affordable standard optics, and the combined stitched image provides sufficient overall image quality for driver awareness.
Solution Approach 2:
The system replaces expensive, complex high-resolution wide-angle imaging components with multiple inexpensive standard cameras and lenses. While individual cameras have lower resolution, their combined output through stitching provides adequate image quality at a fraction of the cost.
Data Source
AI summary
A vision system for a vehicle includes a plurality of cameras having respective fields of view exterior of the vehicle. The plurality of cameras includes driver and passenger side wide angle cameras having wide angle fields of view, driver and passenger side rearward viewing cameras having fields of view sideward and rearward of the vehicle, and a rear camera having a wide angle field of view rearward of the vehicle. A display is operable to display images derived from image data captured by at least some of the cameras. The display displays a panoramic view derived from image data captured by the rear camera, the left-side rearward viewing camera and the right-side rearward viewing camera. The display displays a surround view derived from image data captured by at least some of the plurality of cameras.