像素                        
                
                                
                        
                            图像传感器                        
                
                                
                        
                            CMOS芯片                        
                
                                
                        
                            图像分辨率                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            CMOS传感器                        
                
                                
                        
                            人工智能                        
                
                                
                        
                            传感器阵列                        
                
                                
                        
                            计算机视觉                        
                
                                
                        
                            计算                        
                
                                
                        
                            遥感                        
                
                                
                        
                            电子工程                        
                
                                
                        
                            算法                        
                
                                
                        
                            工程类                        
                
                                
                        
                            地质学                        
                
                                
                        
                            机器学习                        
                
                        
                    
            作者
            
                Bingxing Wu,Suat U. Ay,Ahmed Abdel-Rahim            
         
                    
        
    
            
            标识
            
                                    DOI:10.1117/1.oe.57.9.093106
                                    
                                
                                 
         
        
                
            摘要
            
            A trapezoid (TZOID) pixel array complementary metal oxide semiconductor (CMOS) image sensor, and a pixel-resolution mapping (P-RM) method to extract information from the observed objects without requiring any specific patterns or man-made markings, are proposed for traffic applications. The size of each pixel in the TZOID imager was determined by pixel design equations based on the relationship between the pixel’s physical size and related spatial resolution. The TZOID imager trades detection accuracy for a tolerable data loss to reduce communication bandwidth and computation power. The P-RM method determines the pixels’ actual resolutions in the real world of the captured imaged by both standard rectangular single- and multiresolution TZOID pixel arrays. Both indoor and outdoor experiments were performed using single- and multiresolution imagers. The TZOID imager integrated circuit (IC) was fabricated in a 0.18-μm CMOS process. It was tested, and its performance parameters were compared with an off-the-shelf CMOS image sensor IC. Tests showed that the TZOID generates 98% less data than that of a standard image sensor, trading off only 2% detection accuracy. Results also show that the proposed method provides a general procedure for designing a multiresolution sensor for traffic applications.
         
            
 
                 
                
                    
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