Dongsuk Kum

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 55

Top Topics

Object Detection

Predictive Control

Electric Vehicles

Top Venues

IEEE Trans. Intell. Transp. Syst.

Intelligent Vehicles Symposium

Publications

Jisong Kim, Minjae Seong, Geonho Bang, Dongsuk Kum, Jun Won Choi
RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection. ICRA (2024)
Geonho Bang, Kwangjin Choi, Jisong Kim, Dongsuk Kum, Jun Won Choi
RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features. CoRR (2024)
Sanmin Kim, Youngseok Kim, Sihwan Hwang, Hyeonjun Jeong, Dongsuk Kum
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection. CoRR (2024)
Hyeonjun Jeong, Juyeb Shin, François Rameau, Dongsuk Kum
Multi-Modal Place Recognition via Vectorized HD Maps and Images Fusion for Autonomous Driving. IEEE Robotics Autom. Lett. 9 (5) (2024)
Joonhee Lim, Kibeom Lee, Jangho Shin, Dongsuk Kum
Learning Terminal State of the Trajectory Planner: Application for Collision Scenarios of Autonomous Vehicles. ICRA (2024)
Youngseok Kim, Sanmin Kim, Juyeb Shin, Jun Won Choi, Dongsuk Kum
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception. CoRR (2023)
Hyeong-Seok Jeon, Sanmin Kim, Kibeom Lee, Daejun Kang, Junwon Choi, Dongsuk Kum
Are Reactions to Ego Vehicles Predictable Without Data?: A Semi-Supervised Approach. IEEE Trans. Intell. Transp. Syst. 24 (6) (2023)
Sanmin Kim, Youngseok Kim, In-Jae Lee, Dongsuk Kum
Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images. ICCV (2023)
Sanmin Kim, Hyeong-Seok Jeon, Jun Won Choi, Dongsuk Kum
Diverse Multiple Trajectory Prediction Using a Two-Stage Prediction Network Trained With Lane Loss. IEEE Robotics Autom. Lett. 8 (4) (2023)
Sanmin Kim, Youngseok Kim, In-Jae Lee, Dongsuk Kum
Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images. CoRR (2023)
Youngseok Kim, Juyeb Shin, Sanmin Kim, In-Jae Lee, Jun Won Choi, Dongsuk Kum
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception. ICCV (2023)
Youngseok Kim, Sanmin Kim, Jun Won Choi, Dongsuk Kum
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer. AAAI (2023)
Si-Hwan Park, Sanmin Kim, Youngseok Kim, Dongsuk Kum
Joint Semi-Supervised and Active Learning via 3D Consistency for 3D Object Detection. ICRA (2023)
Ji Song Kim, Minjae Seong, Geonho Bang, Dongsuk Kum, Jun Won Choi
RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection. CoRR (2023)
Jie Han, Xiaosong Hu, Yalian Yang, Lech Marian Grzesiak, Dongsuk Kum
Joint Optimization of Configuration, Component Sizing, and Energy Management for Input-Split Hybrid Powertrains. IEEE Trans. Veh. Technol. 72 (2) (2023)
Juyeb Shin, François Rameau, Hyeonjun Jeong, Dongsuk Kum
InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning. CoRR (2023)
Youngseok Kim, Sanmin Kim, Sangmin Sim, Jun Won Choi, Dongsuk Kum
Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision. IEEE Trans. Intell. Transp. Syst. 24 (2) (2023)
Seungmin Jeon, Kibeom Lee, Dongsuk Kum
Overtaking decision and trajectory planning in highway via hierarchical architecture of conditional state machine and chance constrained model predictive control. Robotics Auton. Syst. 151 (2022)
Seulbin Hwang, Kibeom Lee, Hyeong-Seok Jeon, Dongsuk Kum
Autonomous Vehicle Cut-In Algorithm for Lane-Merging Scenarios via Policy-Based Reinforcement Learning Nested Within Finite-State Machine. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Toumadher Barhoumi, Dongsuk Kum
Systematic Design of Fixed Gear Modes for Novel Multi-Mode Architectures: A Prius Case Study. ECC (2022)
Sangmin Sim, Youngseok Kim, Dongsuk Kum
Sequential Image-based 3D Object Detection with Location Refinement. ICPR (2022)
Chonghyuk Song, Jaeho Hwang, Dongsuk Kum
Efficient Design Space Exploration of Multi-Mode, Two-Planetary-Gear, Power-Split Hybrid Electric Powertrains via Virtual Levers. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Youngseok Kim, Sanmin Kim, Jun Won Choi, Dongsuk Kum
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer. CoRR (2022)
Sanmin Kim, Hyeong-Seok Jeon, Junwon Choi, Dongsuk Kum
Improving Diversity of Multiple Trajectory Prediction based on Map-adaptive Lane Loss. CoRR (2022)
Youngseok Kim, Sanmin Kim, Sangmin Sim, Jun Won Choi, Dongsuk Kum
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision. CoRR (2022)
Geunyoung Park, Juntae Park, Dongsuk Kum
Preview Control of Dog clutch-based Electric Vehicle Transmission via Dynamic Programming: Proof of Concept. CCTA (2022)
Junho Koh, Jaekyum Kim, Jin Hyeok Yoo, Yecheol Kim, Dongsuk Kum, Jun Won Choi
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds. AAAI (2022)
Yecheol Kim, Konyul Park, Minwook Kim, Dongsuk Kum, Jun Won Choi
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection. CoRR (2022)
Byeoungdo Kim, SeongHyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, Jun Won Choi
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. CVPR (2021)
Junho Koh, Jaekyum Kim, Jinhyuk Yoo, Yecheol Kim, Dongsuk Kum, Jun Won Choi
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds. CoRR (2021)
Byeoungdo Kim, SeongHyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, Jun Won Choi
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. CoRR (2021)
Sanmin Kim, Dongsuk Kum, Junwon Choi
RECUP Net: RECUrsive Prediction Network for Surrounding Vehicle Trajectory Prediction with Future Trajectory Feedback. ITSC (2020)
Youngseok Kim, Junwon Choi, Dongsuk Kum
GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image. IROS (2020)
Hyeong-Seok Jeon, Junwon Choi, Dongsuk Kum
SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network. CoRR (2020)
Jinhyeong Kim, Youngseok Kim, Dongsuk Kum
Low-Level Sensor Fusion for 3D Vehicle Detection Using Radar Range-Azimuth Heatmap and Monocular Image. ACCV (3) (2020)
Jin Hyeok Yoo, Dongsuk Kum, Jun Won Choi
ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection. ICPR (2020)
Jingeon Kang, Hyunjun Kim, Dongsuk Kum
Systematic Design of Input- and Output-Split Hybrid Electric Vehicles With a Speed Reduction/Multiplication Gear Using Simplified-Lever Model. IEEE Trans. Intell. Transp. Syst. 21 (9) (2020)
Daejun Kang, Dongsuk Kum
Camera and Radar Sensor Fusion for Robust Vehicle Localization via Vehicle Part Localization. IEEE Access 8 (2020)
Hyeong-Seok Jeon, Junwon Choi, Dongsuk Kum
SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network. IROS (2020)
Seungmin Jeong, Young Jae Jang, Dongsuk Kum, Min-Seok Lee
Charging Automation for Electric Vehicles: Is a Smaller Battery Good for the Wireless Charging Electric Vehicles? IEEE Trans Autom. Sci. Eng. 16 (1) (2019)
Hyunjun Kim, Toumadher Barhoumi, Dongsuk Kum
Comprehensive Design Methodology of Compound-Split Hybrid Electric Vehicles: Introduction of the Compound Lever as a Design Tool. IEEE Access 7 (2019)
Yeongho Son, Elijah S. Lee, Dongsuk Kum
Robust multi-lane detection and tracking using adaptive threshold and lane classification. Mach. Vis. Appl. 30 (1) (2019)
Elijah S. Lee, Wongun Choi, Dongsuk Kum
Bird's eye view localization of surrounding vehicles: Longitudinal and lateral distance estimation with partial appearance. Robotics Auton. Syst. 112 (2019)
Seungje Yoon, Hyeong-Seok Jeon, Dongsuk Kum
Predictive Cruise Control Using Radial Basis Function Network-Based Vehicle Motion Prediction and Chance Constrained Model Predictive Control. IEEE Trans. Intell. Transp. Syst. 20 (10) (2019)
Youngseok Kim, Dongsuk Kum
Deep Learning based Vehicle Position and Orientation Estimation via Inverse Perspective Mapping Image. IV (2019)
Kibeom Lee, Shengbo Eben Li, Dongsuk Kum
Synthesis of Robust Lane Keeping Systems: Impact of Controller and Design Parameters on System Performance. IEEE Trans. Intell. Transp. Syst. 20 (8) (2019)
Seung-Hyun Kong, Yisheng Lv, Hai Le Vu, Juan-Carlos Cano, Jun-Won Choi, Dongsuk Kum, Brendan Tran Morris
Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies. IEEE Trans. Intell. Transp. Syst. 20 (10) (2019)
Kibeom Lee, Seungmin Jeon, Heegwon Kim, Dongsuk Kum
Optimal Path Tracking Control of Autonomous Vehicle: Adaptive Full-State Linear Quadratic Gaussian (LQG) Control. IEEE Access 7 (2019)
Kibeom Lee, Dongsuk Kum
Collision Avoidance/Mitigation System: Motion Planning of Autonomous Vehicle via Predictive Occupancy Map. IEEE Access 7 (2019)
Hyeong-Seok Jeon, Dongsuk Kum, Woo-Yeol Jeong
Traffic Scene Prediction via Deep Learning: Introduction of Multi-Channel Occupancy Grid Map as a Scene Representation. Intelligent Vehicles Symposium (2018)
Jae-Hwan Kim, Dongsuk Kum
Collision Risk Assessment Algorithm via Lane-Based Probabilistic Motion Prediction of Surrounding Vehicles. IEEE Trans. Intell. Transp. Syst. 19 (9) (2018)
Jihun Han, Dongsuk Kum, Youngjin Park
Synthesis of Predictive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles Based on Closed-Form Solution of Optimal Equivalence Factor. IEEE Trans. Veh. Technol. 66 (7) (2017)
Elijah S. Lee, Dongsuk Kum
Feature-based lateral position estimation of surrounding vehicles using stereo vision. Intelligent Vehicles Symposium (2017)
Seungje Yoon, Dongsuk Kum
The multilayer perceptron approach to lateral motion prediction of surrounding vehicles for autonomous vehicles. Intelligent Vehicles Symposium (2016)
Shengbo Eben Li, Shaobing Xu, Dongsuk Kum
Efficient and accurate computation of model predictive control using pseudospectral discretization. Neurocomputing 177 (2016)
Jae-Hwan Kim, Dongsuk Kum
Threat prediction algorithm based on local path candidates and surrounding vehicle trajectory predictions for automated driving vehicles. Intelligent Vehicles Symposium (2015)
Feng Gao, Shengbo Eben Li, Dongsuk Kum, Hui Zhang
theory for systems with large uncertainties. Neurocomputing 157 (2015)
Seungmin Jeong, Young Jae Jang, Dongsuk Kum
Design optimization of the OLEV system considering battery lifetime. ITSC (2014)
Dongsuk Kum, Huei Peng, Norman K. Bucknor
Optimal Energy and Catalyst Temperature Management of Plug-in Hybrid Electric Vehicles for Minimum Fuel Consumption and Tail-Pipe Emissions. IEEE Trans. Control. Syst. Technol. 21 (1) (2013)
Xiaowu Zhang, Chiao-Ting Li, Dongsuk Kum, Huei Peng
: Configuration Analysis of Power-Split Hybrid Vehicles With a Single Planetary Gear. IEEE Trans. Veh. Technol. 61 (8) (2012)
Dongsuk Kum, Huei Peng, Norman K. Bucknor
Optimal catalyst temperature management of Plug-in Hybrid Electric Vehicles. ACC (2011)