A Surround View Camera Solution for Embedded Systems

Buyue Zhang, Vikram Appia, Ibrahim Pekkucuksen, Yucheng Liu, Aziz Umit Batur, Pavan Shastry, Stanley Liu, Shiju Sivasankaran, Kedar Chitnis; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2014, pp. 662-667

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.

Related Material


[pdf]
[bibtex]
@InProceedings{Zhang_2014_CVPR_Workshops,
author = {Zhang, Buyue and Appia, Vikram and Pekkucuksen, Ibrahim and Liu, Yucheng and Umit Batur, Aziz and Shastry, Pavan and Liu, Stanley and Sivasankaran, Shiju and Chitnis, Kedar},
title = {A Surround View Camera Solution for Embedded Systems},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2014}
}