About
Jinyong Jeong
E-mail: jjy0923@kaist.ac.kr, jjy0923@gmail.com
Instagram: Jinyongjeong_steve
Facebook: Jinyong Jeong Steve
[Current]
- ph.D student
- Civil and Environmental Engineering(CEE)
- Korea Advanced Institute of Science and Technology(KAIST)
- Intelligent Robotic Autonomy and Perception(IRAP)
- Research Interest: Autonomous car, SLAM, computer Vision
[Previous]
- 2005.02 ~ 2012.08 : Inha university (undergraduate course)
- 2012.08 ~ 2014.08 : KAIST (master course)
- 2014.08 ~ 2015.10 : Defense Agency for Technology and Quality (DTaQ) researcher
- 2016.02 ~ current : KAIST (ph.D course)
Interests
- SLAM, Localization, Mapping, Place Recognition, Computer Vision, Deep Learning, AI, Sensor Fusion
Language
- C, C++, Python, Matlab, Java, HTML
Publications
[2019]
Jinyong Jeong, Younggun Cho, Young-Sik Shin, Hyunchul Roh and Ayoung Kim, Complex Urban Dataset with Multi-level Sensors from Highly Diverse Urban Environments. International Journal of Robotics Research, 2019. (Accepted. To appear).
Jinyong Jeong, Lucas Y. Cho, and Ayoung Kim. “Road is Enough! Extrinsic Calibration of Non-overlapping Stereo Camera and LiDAR using Road Information.” arXiv preprint arXiv:1902.10586 (2019).
[2018]
Youngji Kim, Jinyong Jeong and Ayoung Kim, Stereo Camera Localization in 3D LiDAR Maps. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1-9, Madrid, Oct. 2018.
Jinyong Jeong, Younggun Cho, Young-sik Shin, Hyunchul Roh, Ayoung Kim. “Complex Urban LiDAR Data Set” Robotics and Automation (ICRA), 2018 IEEE International Conference on. IEEE, 2018.
Jinyong Jeong and Ayoung Kim, LiDAR Intensity Calibration for Road Marking Extraction. In Proceedings of the IEEE International Conference on Ubiquitous Robots, Honolulu, Jun. 2018.
Younggun Cho, Jinyong Jeong, and Ayoung Kim. “Model Assisted Multi-band Fusion for Single Image Enhancement and Applications to Robot Vision.” IEEE Robotics and Automation Letters (2018).
Younggun Cho, Jinyong Jeong, Youngsik Shin and Ayoung Kim, DejavuGAN: Multi-temporal Image Translation toward Long-term Robot Autonomy. In ICRA Workshop on Long-term Autonomy and Deployment of Intelligent Robots in the Real-world, Brisbane, May. 2018.
[2017]
Hyunchul Roh, Jinyong Jeong and Ayoung Kim, Aerial Image based Heading Correction for Large Scale SLAM in an Urban Canyon. IEEE Robotics and Automation Letters (with IROS), 2(4):2232 - 2239, 2017.
Joowan Kim, Jinyong Jeong, Young-Sik Shin, Younggun Cho, Hyunchul Roh and Ayoung Kim, LiDAR Configuration Comparison for Urban Mapping System. In Proceedings of the IEEE Ubiquitous Robots and Ambient Intelligence (URAI), Jeju, S. Korea, Aug. 2017.
Jinyong Jeong, Younggun Cho and Ayoung Kim, Road-SLAM : Road Marking based SLAM with Lane-level Accuracy. In Proceedings of the IEEE Intelligent Vehicle Symposium, Redondo Beach, CA, Jun. 2017.
[2016]
Hyunchul Roh, Jinyong Jeong, Younggun Cho and Ayoung Kim, Accurate Mobile Urban Mapping via Digital Map-Based SLAM. MDPI Sensors, 16(8):1315, Aug. 2016. [pdf]
Jeong, Jinyong, and Ayoung Kim. “Adaptive Inverse Perspective Mapping for lane map generation with SLAM.” Ubiquitous Robots and Ambient Intelligence (URAI), 2016 13th International Conference on. IEEE, 2016. [pdf]