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Design and development of automotive blind spot detection radar system based on ROI pre-processing scheme
- Design and development of automotive blind spot detection radar system based on ROI pre-processing scheme
- Hyun, E.; Jin, Y. S.; Lee, J. H.
- DGIST Authors
- Hyun, E.; Lee, J. H.
- Issue Date
- International Journal of Automotive Technology, 18(1), 165-177
- Article Type
- Automotive Radar; Blind Spot Detection Radar; Blind Spot Detections; BSD Radar; Computer Architecture; Constant False Alarm Rate; Continuous Wave Radar; Design and Development; Fast Fourier Transforms; FFT (Fast Fourier Transform); FMCW Radar; Frequency-Modulated Continuous Waves; Frequency Modulation; Image Segmentation; Low Complexity; Microwave Antennas; Radar; Radar Signal Processing; Radar Systems; Radio Transceivers; Signal Processing; Tracking Radar
- In the conventional 2D-FFT based target detection method, all range-Doppler cells are computed by FFT (Fast Fourier Transform) and scanned by CA-CFAR (Cell-Averaging Constant False Alarm Rate) detection. This results in high computational complexity and long processing time. In this paper, we developed an automotive 24 GHz BSD (Blind Spot Detection) FMCW (Frequency Modulated Continuous Wave) radar with a low complexity target detection architecture based on a ROI (Region Of Interest) pre-processing scheme. In the real BSD zone, because the number of cars to be detected is limited, the designed method only extracts their velocities corresponding to the range ROIs in which real targets exist. Moreover, the presence probability of vehicles with the same range-bin but different velocities is very low. Thus, in the designed method, some Doppler ROIs cells with a high magnitude are only applied for CA-CFAR detection. This architecture can dramatically reduce the amount of data to be processed compared to that of the conventional 2D FFT based method, resulting in enhanced processing time. We developed a 24 GHz FMCW radar system composed a transceiver, antennas, and signal processing module. The designed algorithm was implemented in a tiny micro-processor of the signal processing module. By implementing our proposed algorithm in the developed 24 GHz FMCW radar system in an anechoic chamber and a real road, we verified that the range and velocity of a car occupying the BSD zone were detected. Compared to that of the conventional method, the reduction ratio of the total processing time was measured to be 52.4 %. © 2016, The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg.
- Korean Society of Automotive Engineers
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- Convergence Research Center for Future Automotive Technology1. Journal Articles
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