KIEE
The Transactions of
the Korean Institute of Electrical Engineers
KIEE
Contact
Open Access
Monthly
ISSN : 1975-8359 (Print)
ISSN : 2287-4364 (Online)
http://www.tkiee.org/kiee
Mobile QR Code
The Transactions of the Korean Institute of Electrical Engineers
ISO Journal Title
Trans. Korean. Inst. Elect. Eng.
Main Menu
Main Menu
최근호
Current Issue
저널소개
About Journal
논문집
Journal Archive
편집위원회
Editorial Board
윤리강령
Ethics Code
논문투고안내
Instructions to Authors
연락처
Contact Info
논문투고·심사
Submission & Review
Journal Search
Home
Archive
2024-05
(Vol.73 No.05)
10.5370/KIEE.2024.73.5.834
Journal XML
XML
PDF
INFO
REF
References
1
S. Zehang, G. Bebis, and R. Miller, “On-road vehicle detection: A review,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 5, pp. 694–711, 2006.
2
A. Mukhtar, X. Likun, and TB Tang, “Vehicle detection techniques for collision avoidance systems: A review,” IEEE Trans. Intell. Transp. Syst., vol. 16, no. 5, pp. 2318- 2338, 2015.
3
C.Bila, F. Sivrikaya, M. Khan, and S. Albayrak, “Vehicles of the future: A survey of research on safety issues,” IEEE Trans. Intell. Transp. Syst., vol. 18, no. 5, pp. 1046- 1065, 2016.
4
B. Ren, W. Deng, C. Tomm, F. Han, and Y. Wang, “Vision- based forward collision warning system design supported by a field-test verification platform,” in Proc. IEEE Intell. Veh. Symp., pp. 492–497, 2014.
5
K. Huh, J. Park, J. Hwang, and D. Hong, “A stereo vision-based obstacle detection system in vehicles,” Opt. Lasers Eng., vol. 46, no. 2, pp. 168–178, 2008.
6
Y.-C. Kuo, N.-S. Pai, and Y.-F. Li, “Vision-based vehicle detection for a driver assistance system,” Comput. Math. Appl., vol. 61, no. 8, pp. 2096–2100, 2011.
7
J. Lan and M. Zhang, “A new vehicle detection algorithm for real-time image processing system,” in Proc. ICCASM, pp. V10-1–V10-4, 2010.
8
M. Lin and X. Xu, “Multiple vehicle visual tracking from a moving vehicle,” in Proc. 6th ISDA, pp. 373–378, 2006.
9
Y. Zhang, S. J. Kiselewich, and W. A. Bauson, “Legendre and gabor moments for vehicle recognition in forward collision warning,” in Proc. IEEE ITSC, pp. 1185–1190, 2006.
10
R. Stafford, R. D. Santer, and F. C. Rind, “A bio-inspired visual collision detection mechanism for cars: Combining insect inspired neurons to create a robust system,” BioSystems, vol. 87, pp. 164-171, 2006.
11
Q. Fu, C. Hu, J. Peng, F. C. Rind, and S. Yue, “A robust collision perception visual neural network with specific selectivity to darker objects,” IEEE Trans. Cybernetics, vol. 50, no. 12, pp. 5074-5088, 2019.
12
Q. Fu, H. Cheng, and Y. Shigang, “Collision selective visual neural network inspired by LGMD2 neurons in juvenile locusts,” arXiv preprint arXiv:1801.06452 2017.