Wei Huang^1,2,3, Zhen Zhang^1,2,3, Wentao Li^1,2 and Jiandong Tian This email address is being protected from spambots. You need JavaScript enabled to view it.^1,2

¹State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, P.R. China
²Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, P.R. China
³University of Chinese Academy of Sciences, Beijing 100049, P.R. China

REFERENCES

1. [1] Sugimoto, S., H. Tateda, H. Takahashi, and M. Okutomi (2004) Obstacle Detection Using Millimeter-wave Radar and Its Visualization on Image Sequence, International Conference on Pattern Recognition, Cambridge, England, Aug. 2326, pp. 342345. doi: 10. 1109/ICPR.2004.1334537
2. [2] Sun, Z. H., G. Bebis, and R. Miller (2004) On-road Vehicle Detection Using Optical Sensors: a Review, 7th IEEE International Conference on Intelligent Transportation Systems, Washington, DC, U.S.A., 585590. doi: 10.1109/ITSC.2004.1398966
3. [3] Kim, D. Y., and M. Jeon (2014) Data Fusion of Radar and Image Measurements for Multi-object Tracking via Kalman Filtering, Information Sciences 278, 641 652. doi: 10.1016/j.ins.2014.03.080
4. [4] Piccardi, M. (2004) Background Subtraction Techniques: a Review, IEEE International Conference on Systems,ManandCybernetics,TheHague,Netherlands, Oct. 1013, pp. 30993104. doi: 10.1109/ICSMC.2004. 1400815
5. [5] Cristani, M., M. Farenzena, D. Bloisi, and V. Murino (2010) Background Subtraction for Automated Multisensor Surveillance: a Comprehensive Review, EURASIP Journal on Advances in Signal Processing 2010(43). doi: 10.1155/2010/343057
6. [6] Bouwmans, T., F. El Baf, and B. Vachon (2010) Statistical Background Modeling for Foreground Detection: a Survey, Handbook of Pattern Recognition and Computer Vision 4th ed., 181199.
7. [7] Benezeth, Y., P. M. Jodoin, B. Emile, H. Laurent, and C. Rosenberger (2008) Review and Evaluation of Commonly-implementedBackground Subtraction Algorithms, 19th International Conference on Pattern Recognition, Tampa, Florida, USA, Dec. 811. doi: 10. 1109/ICPR.2008.4760998
8. [8] Sobral, A., and A. Vacavant (2014) A Comprehensive Review of Background Subtraction Algorithms Evaluated with Synthetic and Real Videos, Computer Vision and Image Understanding 122, 421. doi: 10. 1016/j.cviu.2013.12.005
9. [9] Obrvan, M., J. Cesic, and I. Petrovic (2016) Appearance Based Vehicle Detection by Radar-stereo Vision Integration, Learning Robotics forYoungsters-The RoboParty Experience 437449.
10. [10] Ji, Z. P., and D. Prokhorov (2008) Radar-vision Fusion for Object Classification, World Automation Congress 2008, Hawaii, USA, Sept. 28Oct. 2, pp. 375 380.
11. [11] Wang, T., N. N. Zheng, J. M.Xin, and Z. Ma(2011) Integrating Millimeter Wave Radar with a Monocular Vision Sensor for On-road Obstacle Detection Applications,” Sensors 11(9), 89929008. doi: 10.3390/ s110908992
12. [12] Sole, A., O. Mano, G. P. Stein, H. Kumon, Y. Tamatsu, and A. Shashua (2004) Solid or Not Solid: Vision for Radar Target Validation, IEEE Intelligent Vehicles Symposium, Parma, Italy, Jun 1417, pp. 819824.
13. [13] Wu, S. G., S. Decker, P. Chang, T. Camus, and J. Eledath (2009) Collision Sensing by Stereo Vision and Radar Sensor Fusion, IEEE Transactions on Intelligent Transportation Systems 10(4), 606614. doi: 10. 1109/TITS.2009.2032769
14. [14] Alessandretti, G., A. Broggi, and P. Cerri (2007) Vehicle and Guard Rail Detection Using Radar and Vision Data Fusion, IEEE Transactions on Intelligent Transportation Systems 8(1), 95104. doi: 10.1109/TITS. 2006.888597
15. [15] Bombini, L., P. Cerri, P. Medici, and G. Alessandretti (2006) Radar-vision Fusion for Vehicle Detection, Proceedings of International Workshop on Intelligent Transportation, 6570.
16. [16] Chen, X. W. (2016) Study on Vehicle Detection Using Vision and Radar, Master thesis, Jilin University, Jilin, China.
17. [17] Zhang, Z. Y. (2000) A Flexible New Technique for Camera Calibration, IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 13301334. doi: 10.1109/34.888718