IEEE T-ITS

Calibration-Free Driver Drowsiness Classification with Prototype-Based Multi-Domain Mixup

D.-Y. Kim, D.-K. Han, J.-H. Jeong, S.-W. Lee

InstaGraM: Instance-level Graph Modelingfor Vectorized HD Map Learning

Juyeb Shin, Hyeonjun Jeong, Francois Rameau, Dongsuk Kum

OnlineBEV: Recurrent Temporal Fusion in Bird's Eye View Representations for Multi-Camera 3D Perception

Junho Koh, Youngwoo Lee, Jungho Kim, Dongyoung Lee, and Jun Won Choi

Plane-Based Stereo Visual Localization With a Prior LiDAR Map

Youngsoo Han, Youngseok Jang, Changhyeon Kim, Seungyeon Yoo and H. Jin Kim

An Analytical Approach to the Predictive Energy Management of Connected HEVs: What Information Do We Need to Guarantee Global Optimality?

Kyunghwan Choi, Geunyoung Park, Dongsuk Kum

Are Reactions to Ego Vehicles Predictable without Data?: A Semi-supervised Approach

Hyeongseok Jeon, Sanmin Kim, Kibeom Lee, Dae Jun Kang, Jun Won Choi, Dongsuk Kum

Are Reactions to Ego Vehicles Predictable Without Data?: A Semi-Supervised Approach

Hyeongseok Jeon, Sanmin Kim, Kibeom Lee, Daejun Kang, Jun Won Choi, and Dongsuk Kum

Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision

Youngseok Kim, Sanmin Kim, Sangmin Sim, Jun Won Choi, and Dongsuk Kum

MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction

Trirat, P., Yoon, S., and Lee, J.

Motion Sickness Prediction based on Dry EEG in Real Driving Environment

J.-S. Bang, D.-O. Won, Tae-Eui Kam, S.-W. Lee

Motion Sickness Prediction based on Dry EEG in Real Driving Environment

J.-S. Bang, D.-O. Won, T.-E. Kam, and S.-W. Lee

Scale-aware Monocular Visual Odometry and Extrinsic Calibration using Vehicle Kinematics

Changhyeon Kim, Youngseok Jang, Junha Kim, Pyojin Kim, and H. Jin Kim