Browse > Article
http://dx.doi.org/10.7467/KSAE.2017.25.1.092

Development of Human Detection Algorithm for Automotive Radar  

Hyun, Eugin (ART (Advanced Radar Technology) Lab., DGIST Convergence Research Institute)
Jin, Young-Seok (ART (Advanced Radar Technology) Lab., DGIST Convergence Research Institute)
Kim, Bong-Seok (ART (Advanced Radar Technology) Lab., DGIST Convergence Research Institute)
Lee, Jong-Hun (ART (Advanced Radar Technology) Lab., DGIST Convergence Research Institute)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.25, no.1, 2017 , pp. 92-102 More about this Journal
Abstract
For an automotive surveillance radar system, fast-chirp train based FMCW (Frequency Modulated Continuous Wave) radar is a very effective method, because clutter and moving targets are easily separated in a 2D range-velocity map. However, pedestrians with low echo signals may be masked by strong clutter in actual field. To address this problem, we proposed in the previous work a clutter cancellation and moving target indication algorithm using the coherent phase method. In the present paper, we initially composed the test set-up using a 24 GHz FMCW transceiver and a real-time data logging board in order to verify this algorithm. Next, we created two indoor test environments consisting of moving human and stationary targets. It was found that pedestrians and strong clutter could be effectively separated when the proposed method is used. We also designed and implemented these algorithms in FPGA (Field Programmable Gate Array) in order to analyze the hardware and time complexities. The results demonstrated that the complexity overhead was nearly zero compared to when the typical method was used.
Keywords
Pedestrian detection; Automotive radar; Clutter cancellation; Radar signal processing algorithm;
Citations & Related Records
연도 인용수 순위
  • Reference
1 G. Reina, D. Johnson and J. Underwood, "Radar Sensing for Intelligent Vehicles in Urban Environments," MDPI Sensors, Vol.15, pp.14661-14678, 2015.   DOI
2 D. Geronimo, A. M. Lopez, A. D. Sappa and T. Graf, "Survey of Pedestrian Detection for Advanced Driver Assistance Systems," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.32, No.7, pp.1239-1258, 2010.   DOI
3 S. H. Jeong, J. E. Lee, S. U. Choi , J. N. Oh and K. H. Lee, "Technology Analysis and Low-cost Design of Automotive Radar for Adaptive Cruise Control System," Int. J. Automotive Technology, Vol.13, No.7, pp.1133-1140, 2012.   DOI
4 M. A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill, New York, pp.198-201, 2005.
5 M. S. Lee and Y. H. Kim, "Design and Performance of a 24-GHz Switch-antenna Array FMCW Radar System for Automotive Applications," IEEE Trans. on Vehicular Technology, Vol.59, pp.2290-2297, 2010.   DOI
6 E. Hyun, Y. S. Jin and J. H. Lee, "A Pedestrian Detection Scheme Using a Coherent Phase Difference Method Based on 2D Range-Doppler FMCW Radar," MDPI Sensors, Vol.124, No.16, 2016.
7 M. Kronauge, C. Schroeder and H. Rohling, "Radar Target Detection and Doppler Ambiguity Resolution," In Proceedings of the 11th International Radar Symposium, pp.1-4, 2010.
8 M. Andres, W. Menzel, H. L. Bloecher and J. Dickmann, "Detection of Slow Moving Targets using Automotive Radar Sensors," In Proceedings of the 7th German Microwave Conference, pp.1-4, 2012.
9 C. Schroeder and H. Rohling, "X-Band FMCW Radar System with Variable Chirp Duration," In Proceedings of IEEE Radar Conference, pp.1255-1259, 2010.
10 V. Winkler, "Range Doppler Detection for Automotive FMCW Radar," In Proceedings of European Microwave Conference, pp.166-169, 2007.
11 F. Ali and M. Vossiek, "Detection of Weak Moving Targets Based on 2-D Range-Doppler FMCW Radar Fourier Processing," In Proceedings of IEEE Microwave Conference, pp.214-217, 2010.
12 E. Hyun, Y. S. Jin and J. H. Lee, "Development of 24GHz FMCW Level Measurement Radar System," IEEE International Radar Conference, pp.796-799, 2014.
13 Y. S. Jin, Y. H. Ju, S. D. Kim, E. Hyun and J. H. Lee, "Implementation of the Real Time Data Logging System for Automotive Radar Development," ISET, pp.83-84, 2016.
14 E. Hyun and J. H. Lee, "Multi-target Tracking Scheme Using a Track Management Table for Automotive Radar System," IEEE the 17th IRS, 2016.
15 Xilinx CORE Generator System, https://www.xilinx.com/products/design-tools/coregen.html, 2016.
16 E. G. Hyun, Y. S. Jin and J. H. Lee, "Development of Pedestrian Detection Algorithm using Real-time Data-logging System for Automotive Radar Sensor," KSAE Spring Conference Proceedings, pp.1104-1106, 2016.
17 A. Dzvonkovskaya and H. Rohling "Software Improved Range Resolution For Oceanographic HF FMCW Radar," In Proceedings of the 14th International Radar Symposium, pp.411-416, 2013.