Lightweight driver monitoring system based on multi-task mobilenets W Kim, WS Jung, HK Choi Sensors 19 (14), 3200, 2019 | 45 | 2019 |
Driver distraction detection using single convolutional neural network W Kim, HK Choi, BT Jang, J Lim 2017 international conference on information and communication technology …, 2017 | 43 | 2017 |
A study on feature extraction methods used to estimate a driver’s level of drowsiness KH Lee, W Kim, HK Choi, BT Jang 2019 21st International Conference on Advanced Communication Technology …, 2019 | 26 | 2019 |
An adaptive batch-image based driver status monitoring system on a lightweight GPU-equipped SBC W Kim, YK Lee, WS Jung, D Yoo, DH Kim, KH Jo Ieee Access 8, 206074-206087, 2020 | 13 | 2020 |
Study on training convolutional neural network to detect distraction and drowsiness W Kim, HK Choi, BT Jang 2018 IEEE region ten symposium (Tensymp), 260-264, 2018 | 3 | 2018 |
Adaptive Cell-Size HoG Based Object Tracking with Particle Filter W Kim, KH Kim Contemporary Engineering Sciences 9 (11), 539-545, 2016 | 1 | 2016 |
Unidirectional-Edge Detection based Background Subtraction method for Real-time Object Detection in Restricted Environments W Kim, JD Park, JH Ryu, BC Choi, CW Lee 2023 14th International Conference on Information and Communication …, 2023 | | 2023 |
Human Detection in Infrared Image Using Daytime Model-Based Transfer Learning for Military Surveillance System ES Kim, W Kim, J Park, K Yeo 2023 14th International Conference on Information and Communication …, 2023 | | 2023 |
Detectable Object-Sizes Range Estimation Based Multi-Task Cascaded Convolutional Neural Networks in the Vehicle Environment W Kim, HK Choi, MJ Shin 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-5, 2019 | | 2019 |