Name
Title | ||
|---|---|---|
A flexible vehicle surround view camera system by central-around coordinate mapping model |
Abstract | ||
|---|---|---|
The surround view camera system is an emerging driving assistant technology that can assist drivers in parking by providing top-down view of surrounding situations. Such a system usually consists of four wide-angle or fish-eye cameras that mounted around the vehicle, and a bird-eye view is synthesized from images of these cameras. Commonly there are two fundamental problems for the surround view synthesis, geometric alignment and image synthesis. Geometric alignment performs fish-eye calibration and computes the image perspective transformation between the bird-eye view and images from the surrounding cameras. Image synthesis technique dedicates to seamless stitch between adjacent views and color balancing. In this paper, we propose a flexible central-around coordinate mapping (CACM) model for vehicle surround view synthesis. The CACM model calculates perspective transformation between a top-view central camera coordinate and the around camera coordinates by a marker point based method. With the transformation matrices, we could generate the pixel point mapping relationship between the bird-eye view and images of the surrounding cameras. After geometric alignment, an image fusion method based on distance weighting is adopted for seamless stitch, and an effective overlapping region brightness optimization method is proposed for color balancing. Both the seamless stitch and color balancing can be easily operated by using two types of weight coefficient under the framework of the CACM model. Experimental results show that the proposed approaches could provide a high-performance surround view camera system. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11042-018-6744-4 | Multimedia Tools and Applications |
Keywords | Field | DocType |
Surround view camera system, Fish-eye camera, Bird-eye view, Central-around coordinate mapping model | Computer vision,Weighting,Image fusion,Computer science,View synthesis,Pixel,Artificial intelligence,Transformation matrix,Brightness,Calibration,Geometric alignment | Journal |
Volume | Issue | ISSN |
78.0 | 9 | 1573-7721 |
Citations | PageRank | References |
0 | 0.34 | 15 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhao Yang | 1 | 18 | 9.06 |
| Zhao Yang | 2 | 18 | 9.06 |
| Xiao Hu | 3 | 6 | 2.19 |
| Yi Yin | 4 | 1 | 2.05 |
| Lihua Zhou | 5 | 18 | 7.71 |
| Dapeng Tao | 6 | 1115 | 61.57 |