Taewon Chong(Ph.D. Student)
Taewon Chong(Ph.D. Student)
CARNAVICOM.CO.,Ltd. / Application SW team.
Department of Physics, Hanyang University.
E-mail:
[CARNAVICOM] [Google Scholar] [Github]
Introduction
Full Bio Sketch
Mr.Chong received the B.S degree in Electronics Engineering at Korea Polytechnic University, Korea in 2016 and M.S degree in Electronics & Computer Engineering, Chonnam University at Korea in 2018. And now Mr.Chong was a research engineer at Carnavicom.CO., Ltd. from 2015 and Department of Physics, Hanyang University from 2018. He has worked on LiDAR sensor signal processing, developed 3D viewer and developed domain control unit(DCU) for sensors.
Research Topic
As autonomous driving becomes a hot topics, more sensors are mounted in moving object such as automobiles and agv. It is a limit to processing the data of many sensors in one main processor. In order to reduce the load on the main processor, a module to process sensors data is needed. Since the sensor domain computing unit(DCU) is mainly operated in an environment such as a vehicle where power is nor sufficient, it is necessary to use a low-power processor. I intend to develop a DCU that can collect and process data from multiple LiDAR sensors or other sensors on low-power processor in real-time.
When the processing unit is received from multiple LiDAR sensors, processes, and transmits total data to the outside, the network load is increased due to the amount of LiDAR data. In order to minimize the network load, research is being to reduce LiDAR data. And research is being to restore data close to the original based on the reduced data.
Publications
Journal Publications
Efficiency Low-Power Signal Processing for Multi-Channel LiDAR Sensor-based Vehicle Detection Platform, T Chong, D Park (JKIICE)
Accelerated Signal Processing of Burst-Mode Streamline Data for Low-Power Embedded Multi-Channel LiDAR Systems, T Chong, D Park (JKIICE)
Adaptive Convolution Filter-Based 3D Plane Reconstruction for Low-Power LiDAR Sensor Systems, T Chong, D Park (JKIICE)
Semantic Depth Data Transmission Reduction Techniques using Frame-to-Frame Masking Method for Light-weighted LiDAR Signal Processing Platform, T Chong, D Park (JKIICE)
International Conference Publications
Accelerated Signal Processing of Burst-Mode Streamline Data for Low-Power Embedded Multi-Channel LiDAR Systems, T Chong, S Lee, C Oh, D Park, (IEEE TENSYMP 2021)
Semantic Depth Data Transmission Reduction Techniques Based on Interpolated 3D Plane Reconstruction for Light-Weighted LiDAR Signal Processing Platform, Chong, Taewon, Dongkyu Lee, and Daejin Park, Electronics 11.14 (2022): 2135.
Domestic Conference Presentations