Title :
A Surround View Camera Solution for Embedded Systems
Author :
Buyue Zhang ; Appia, Vikram ; Pekkucuksen, Ibrahim ; Batur, Aziz Umit ; Shastry, Pavan ; Liu, Siyuan ; Sivasankaran, Shiju ; Chitnis, Kedar ; Yucheng Liu
Author_Institution :
Embedded Process., Texas Instrum., Dallas, TX, USA
Abstract :
Automotive surround view camera system is an emerging automotive ADAS (Advanced Driver Assistance System) technology that assists the driver in parking the vehicle safely by allowing him/her to see a top-down view of the 360 degree surroundings of the vehicle. Such a system normally consists of four to six wide-angle (fish-eye lens) cameras mounted around the vehicle, each facing a different direction. From these camera inputs, a composite bird-eye view of the vehicle is synthesized and shown to the driver in real-time during parking. In this paper, we present a surround view camera solution that consists of three key algorithm components: geometric alignment, photometric alignment, and composite view synthesis. Our solution produces a seamlessly stitched bird-eye view of the vehicle from four cameras. It runs real-time on DSP C66x producing an 880x1080 output video at 30 fps.
Keywords :
cameras; driver information systems; embedded systems; photometry; DSP C66x; advanced driver assistance system; automotive ADAS; automotive surround view camera system; composite bird-eye view; composite view synthesis; embedded systems; fish-eye lens cameras; geometric alignment; photometric alignment; seamlessly stitched bird-eye view; surround view camera solution; vehicle parking safety; Brightness; Cameras; Digital signal processing; Image color analysis; Real-time systems; Table lookup; Vehicles; ADAS; around view camera systems; composite view synthesis; geometric alignment; multi-camera fusion; photometric alignment; surround view cameras;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on
Conference_Location :
Columbus, OH
DOI :
10.1109/CVPRW.2014.103
