A Surround View Camera Solution for Embedded Systems

Autor: Shiju Sivasankaran, Aziz Umit Batur, Stanley Liu, Buyue Zhang, Ibrahim Ethem Pekkucuksen, Vikram Appia, Kedar Chitnis, Yucheng Liu, Pavan Shastry
Rok vydání: 2014
Předmět:
Zdroj: CVPR Workshops
DOI: 10.1109/cvprw.2014.103
Popis: 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.
Databáze: OpenAIRE