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The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
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  4. 10.5370/KIEE.2020.69.2.356
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References

1 
Keonyup Chu, et al., 2011, Development of an Autonomous Vehicle: A1, Transactions of the Korean Society of Automotive Engineers, Vol. 19, No. 4, pp. 146-154Google Search
2 
Scott Drew Pendleton, et al., February 2017, Perception, Planning, Control, and Coordination for Autonomous Vehicles, Machines, Vol. 5, No. 1DOI
3 
Minchae Lee, et al., February 2013, Information Fusion of Cameras and Laser Radars for Perception Systems of Autonomous Vehicles, Journal of Korean institute of intelligent systems, Vol. 23, No. 1, pp. 35-45DOI
4 
Si-Jong Kim, et al., June 2011, The Development of Sensor System and 3D World Modeling for Autonomous Vehicle., Journal of Institute of Control, Robotics and Systems, Vol. 17, No. 6, pp. 531-538DOI
5 
Bora Jin, August 2014, Preference analysis of autonomous vehicle in Korea : using mixed Logit model, Seoul UniversityGoogle Search
6 
Yeongbae Hwang, Myeonghyeon Yoon, March 2018, Multi-sensor -based artificial intelligence technology for autonomous driving, OSIA Standards & Technology Review, Vol. 30, No. 1, pp. 23-29Google Search
7 
Yeongguk Ha, July 2018, Deep Learning Technology for Autonomous driving Vehicle, Journal of Korea Robotics Society, Vol. 15, No. 3, pp. 36-46Google Search
8 
Hyun Kim, Hyuk-Jae Lee, June 2018, A Trend in Development of AI Platforms for the Performance Improvement of Autonomous Vehicles, Journal of the Korean Society of Automotive Engineers, Vol. 40, No. 6, pp. 37-42Google Search
9 
Joseph Redmon, and Ali Farhadi, April 2018, Yolov3: An incremental improvement, CoRR, Vol. abs/1804.02767Google Search
10 
Jonathan Long, Evan Shelhamer, Trevor Darrell, 2015, Fully Convolutional Networks for Semantic Segmentation, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431-3440DOI
11 
Mingyu Park, et al., April 2019, A Study on Vehicle Detection and Distance Classification Using Mono Camera Based on Deep Learning, Journal of Korean institute of intelligent systems, Vol. 29, No. 2, pp. 83-89Google Search
12 
Sung soo Hwang, Do Hyun Kim, June 2016, Traversable Region Detection Algorithm using Lane Information and Texture Analysis, Journal of Korea Multimedia Society, Vol. 19, No. 6, pp. 979-989DOI
13 
Eungi Cho, Yongbeom Lee, Seongkeun Park, April 2019, Creation of Grid Map using a Driving Areas Detection and Distance Estimation based on Deep Learning Network, in Proceedings of KIIS Spring Conference 2019Google Search
14 
Hyukdoo Choi, Euntai Kim, Gwang-Woong Yang, September 2013, Scan likelihood evaluation in FastSLAM using binary Bayes filter, The 2013 IEEE Image, Video and Multidimensional Signal Processing (IVMSP), pp. 1-3DOI
15 
Ji-Hye Joung, Jeong-Tae Kim, November 2012, Fast Correction of Nonuniform Illumination on Bi-level Images using Block Based Intensity Normalization, The Transactions of the Korean Institute of Electrical Engineers, Vol. 61, No. 12, pp. 1926-1931DOI
16 
Joseph Redmon, 2013, Darknet: Open Source Neural Networks in CGoogle Search
17 
Martín Abadi, et al., 2015, {TensorFlow}: Large-Scale Machine Learning on Heterogeneous Systems, Internet: http:// tensorflow.org/DOI
18 
Andreas Geiger, Philip Lenz, Raquel Urtasun, 2012, Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite, Conference on Computer Vision and Pattern Recognition (CVPR)DOI