• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

1 
T. S. Collett, 1996, Insect navigation en route to the goal: multiple strategies for the use of landmarks, Journal of Experimental Biology, pp. 227-235Google Search
2 
T. S. Collett, 1992, Landmark learning and guidance in insects, Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, pp. 295-303DOI
3 
F. Papi, 1990, Olfactory navigation in birds, Experientia, Vol. 46, pp. 352-363DOI
4 
J. Rossier, C. Haeberli, F. Schenk, 2000, Auditory cues support place navigation in rats when associated with a visual cue, Behavioural brain research, Vol. 117, No. 1-2, pp. 209-214DOI
5 
M. Müller, R. Wehner, 1988, Path integration in desert ants, Cataglyphis fortis, Proceedings of the National Academy of Sciences, Vol. 85, No. 14, pp. 5287-5290DOI
6 
T. S. Collett, M. Collett, 2000, Path integration in insects, Current opinion in neurobiology, Vol. 10, No. 6, pp. 757-762DOI
7 
D. Kim, J. Lee, 2011, Path integration mechanism with coarse coding of neurons, Neural Processing Letters, Vol. 34, No. 3, pp. 277-291DOI
8 
S. Rossel, R. Wehner, 1984, How bees analyse the polarization patterns in the sky, Journal of Comparative Physiology A, Vol. 154, No. 5, pp. 607-615DOI
9 
T. Kimchi, A. S. Etienne, J. Terkel, 2004, A subterranean mammal uses the magnetic compass for path integration, Proceedings of the National Academy of Sciences, Vol. 101, No. 4, pp. 1105-1109DOI
10 
S. Judd, T. S. Collett, 1998, Multiple stored views and landmark guidance in ants, Nature, Vol. 392, pp. 710DOI
11 
S. Åkesson, R. Wehner, 2002, Visual navigation in desert ants Cataglyphis fortis: are snapshots coupled to a celestial system of reference?, Journal of Experimental Biology, Vol. 205, No. 14, pp. 1971-1978Google Search
12 
B. A. Cartwright, T. S. Collett, 1987, Landmark maps for honeybees, Biological cybernetics, Vol. 57, No. 1-2, pp. 85-93DOI
13 
D. Kim, 2006, Neural network mechanism for the orientation behavior of sand scorpions towards prey, IEEE Transactions on Neural Networks, Vol. 17, No. 4, pp. 1070-1076DOI
14 
D. Kim, 2004, A spiking neuron model for synchronous flashing of fireflies, BioSystems, Vol. 76, No. 1-3, pp. 7-20DOI
15 
D. Lambrinos, R. Möller, T. Labhart, R. Pfeifer, R. Wehner, 2000, A mobile robot employing insect strategies for navigation, Robotics and Autonomous Systems, Vol. 30, pp. 39-64DOI
16 
C. Lee, S. Yu, D. Kim, 2017, Landmark-based homing navigation using omnidirectional depth information, Sensors, Vol. 17, No. 8, pp. 1928DOI
17 
V. V. Hafner, 2001, Adaptive homing - robotic exploration tours, Adaptive Behavior, Vol. 9, No. 3-4, pp. 131-141DOI
18 
K. Weber, S. Venkatesh, M. Srinivasan, 1999, Insect-inspired robotic homing, Adaptive Behavior, Vol. 7, pp. 65-97DOI
19 
S. Yu, D. Kim, 2011, Landmark vectors with quantized distance information for homing navigation, Adaptive Behavior, Vol. 19, No. 2, pp. 121-141DOI
20 
C. Lee, D. Kim, 2017, Local homing navigation based on the moment model for landmark distribution and features, Sensors, Vol. 17, No. 11, pp. 2658DOI
21 
M. Kim, D. Kim, 2019, Local Visual Homing Navigation Using Gradient-Descent Learning of Haar-like Features, Transactions of the Korean Institute of Electrical Engineers, Vol. 68, pp. 1244-1251DOI
22 
S. Baek, 2015, Local visual navigation using features in images, Master dissertation, Yonsei University, Seoul, KoreaGoogle Search
23 
H. Bay, T. Tuytelaars, L. van Gool, 2006, SURF: Speeded up robust features, in Proc. of European Conference on Computer Vision, pp. 404-417DOI
24 
P. Viola, M. Jones, 2001, Rapid object detection using a boosted cascade of simple features, in Proc. of Int. Conf. on Computer Vision & Pattern Recognition, Vol. 1, pp. 511-518DOI
25 
S. Baek, D. Kim, 2014, Snapshot homing navigation based on edge features, Proc. of Int. Conf. on Simulation of Adaptive Behavior, pp. 98-107DOI
26 
N. Dalal, B. Triggs, 2005, Histograms of oriented gradients for human detection, in Proc. of Int. Conf. on Computer Vision & Pattern Recognition, IEEE Computer Society, pp. 886-893DOI
27 
D. G. Lowe, 2004, Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, Vol. 60, No. 2, pp. 91-110DOI
28 
C. Lee, D. Kim, 2018, Visual Homing Navigation with Haar- Like Features in the Snapshot, IEEE Access, Vol. 6, pp. 33666-33681DOI
29 
D. Kim, J. Lee, 2000, Handling continuous-valued attributes in decision tree with neural network modeling, in Proc. of European Conf. on Machine Learning, pp. 211-219DOI
30 
E. Baek, D. Kim, 2020, Estimating Linear Polarization with Multi-Point Optic Sensing, Transactions of the Korean Institute of Electrical Engineers, Vol. 69, No. 1, pp. 99-106Google Search
31 
C. Lee, D. Kim, 2018, High-Order Moment Models of Landmark Distribution for Local Homing Navigation, IEEE Access, Vol. 6, pp. 72137-72152DOI
32 
S. L. Kim, W. Burgard, D. Kim, 2009, Wireless Communications in Networked Robotics: Editorial, IEEE Wireless Communications, Vol. 16, No. 1, pp. 4-5DOI