E-mail: email@example.com, firstname.lastname@example.org
Facebook: Jinyong Jeong Steve
Dataset Homepage: https://sites.google.com/view/complex-urban-dataset
<My 3D model>
- Motion2AI, CTO
- SLAM (Simultaneous Localization and Mapping) engineer
- Email: email@example.com
- Research Interest: Autonomous car, SLAM, computer Vision
- 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 ~ 2020.05 : KAIST (ph.D course)
- 2020.05 ~ current : Motion2AI
Teaching & Seminar
- Handong University Hustar Electronic Circuit Lecture (2019)
- SLAM Kr Seminar (2019)
- KROS Daejeon best paper
- 2011 Hanyang Unv. Model Car Competition Winner (2011)
- SLAM, Localization, Mapping, Place Recognition, Computer Vision, Deep Learning, AI, Sensor Fusion
- C, C++, Python, Matlab, Java, HTML, PHP
Magazine & News
Jinyong Jeong, Younggun Cho, Ayoung Kim, HDMI-Loc: Exploiting High Definition Map Image for Precise Localization via Bitwise Particle Filter. IEEE Robotics and Automation Letters (2020): IROS option
Giseop Kim, Yeong Sang Park, Younghun Cho, Jinyong Jeong, Ayoung Kim, Mulran: Multimodal range dataset for urban place recognition. IEEE International Conference on Robotics and Automation (ICRA), 2020
Hee-Won Jung, Hyunchul Roh, Younggun Cho, Jinyong Jeong, Young-Sik Shin, Validation of a Multi–Sensor‐Based Kiosk for Short Physical Performance Battery. Journal of the American Geriatrics Society, 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.
Yeong Sang Park, Jinyong Jeong, Youngsik Shin and Ayoung Kim. “Radar Dataset for Robust Localization and Mapping in Urban Environment” ICRA Workshop on Dataset Generation and Benchmarking of SLAM Algorithms for Robotics and VR/AR.
Jinyong Jeong, Lucas Y. Cho, and Ayoung Kim. “Road is Enough! Extrinsic Calibration of Non-overlapping Stereo Camera and LiDAR using Road Information.” IEEE Robotics and Automation Letters 4.3 (2019): 2831-2838 (IROS option).
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.
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.
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]