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http://dx.doi.org/10.12673/jant.2015.19.6.544

Design and Implementation of Optical Flow Estimator for Moving Object Detection in Advanced Driver Assistance System  

Yoon, Kyung-Han (School of Electronics and Information Engineering, Korea Aerospace University)
Jung, Yong-Chul (School of Electronics and Information Engineering, Korea Aerospace University)
Cho, Jae-Chan (School of Electronics and Information Engineering, Korea Aerospace University)
Jung, Yunho (School of Electronics and Information Engineering, Korea Aerospace University)
Publication Information
Journal of Advanced Navigation Technology / v.19, no.6, 2015 , pp. 544-551 More about this Journal
Abstract
In this paper, the design and implementation results of the optical flow estimator (OFE) for moving object detection (MOD) in advanced driver assistance system (ADAS). In the proposed design, Brox's algorithm with global optimization is considered, which shows the high performance in the vehicle environment. In addition, Cholesky factorization is applied to solve Euler-Lagrange equation in Brox's algorithm. Also, shift register bank is incorporated to reduce memory access rate. The proposed optical flow estimator was designed with Verilog-HDL, and FPGA board was used for the real-time verification. Implementation results show that the proposed optical flow estimator includes the logic slices of 40.4K, 155 DSP48s, and block memory of 11,290Kbits.
Keywords
Advanced driver assistance system; Moving object detection; Optical flow estimation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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