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http://dx.doi.org/10.12815/kits.2017.16.2.140

A Study of Sensor Fusion using Radar Sensor and Vision Sensor in Moving Object Detection  

Kim, Se Jin (Dept. of Computer Science & Eng., Univ. of Inha)
Byun, Ki Hun (Dept. of Computer Science & Eng., Univ. of Inha)
Won, In Su (Dept. of Electronic Eng., Univ. of Inha)
Kwon, Jang Woo (Dept. of Computer Science & Eng., Univ. of Inha)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.2, 2017 , pp. 140-152 More about this Journal
Abstract
This Paper is for A study of sensor fusion using Radar sensor and Vision sensor in moving object detection. Radar sensor has some problems to detect object. When the sensor moves by wind or that kind of thing, it can happen to detect wrong object like building or tress. And vision sensor is very useful for all area. And it is also used so much. but there are some weakness that is influenced easily by the light of the area, shaking of the sensor device, and weather and so on. So in this paper I want to suggest to fuse these sensor to detect object. Each sensor can fill the other's weakness, so this kind of sensor fusion makes object detection much powerful.
Keywords
Radar; Vision; Sensor fusion; MOD;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Benhimane, Selim, and Ezio M.(2007), "Homography-based 2d visual tracking and servoing," The International Journal of Robotics Research, vol. 26, no. 7, pp.661-676.   DOI
2 Blackman S. and Popoli R.(1999), Design and analysis of modern tracking system, Artech House, pp.23-25.
3 Choi Y., Lee G. and Cho G.(2007), "Utilizing LiDAR Data to Vehicle Recognition on the Road," The Journal of Korean Association of Geographic Information Studies, vol. 10, no. 4, pp.179-188.
4 Foresti G. L., Vittorio M. and Carlo R.(1999), "Vehicle recognition and tracking from road image sequences," IEEE Transactions on Vehicular Technology, vol. 48, no. 1, pp.301-318.   DOI
5 Haselhoff A., Anton K. and Georg S.(2007), "Radar-vision fusion for vehicle detection by means of improved haar-like feature and adaboost approach," IEEE Signal Processing Conference, 15th European. pp.2070-2074.
6 Lee O., Won I., Lee S. and Kwon J.(2015). "On-Road Car Detection System Using VD-GMM 2.0," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 11, pp.2291-2297.   DOI
7 Liu X., Sun Z. and He H.(2011), "On-road Vehicle Detection Fusing Radar and Vision," Vehicular Electronics and Safety(ICVES), pp.150-154.
8 Narayan S.(2002), "Vision-based vehicle detection and tracking method for forward collision warning in automobiles," Intelligent Vehicle Symposium 2002, vol. 2, pp.626-631.
9 Rudolph E. K.(1960), "A new approach to linear filtering and prediction problems," Journal of basic Engineering, vol. 82, no. 1, pp.35-45.   DOI
10 Yaakov B. -S., Willett P. K. and Tian X.(2011), Tracking and data fushion, YBS publishing.
11 Zoran Z.(2004), "Improved adaptive gaussian mixture model for background subtraction," international conference of Pattern Recognition, vol. 2 pp.28-31.
12 Yang S., Song B. and Um J.(2010), "Radar and Vision Sensor Fusion for Primary Vehicle Detection," Jounal of Institute of Control, Robotics and System, vol. 16, no. 7, pp.639-645.   DOI