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2020 – today
- 2024
[j26]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): 4710-4717 (2024)- [j25]Kyunghwan Choi, Geunyoung Park, Dongsuk Kum:
An Analytical Approach to the Predictive Energy Management of Connected HEVs: What Information Do We Need to Guarantee Global Optimality? IEEE Trans. Intell. Transp. Syst. 25(9): 12749-12761 (2024) - [c28]Geunyoung Park, Kyunghwan Choi, Dongsuk Kum:
Stack Degradation Protection of FCEVs via Predictive Energy Management Strategy with Segmented Roads. ACC 2024: 3643-3649 - [c27]Daejun Kang, Dongsuk Kum, Sanmin Kim:
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy. CVPR 2024: 15438-15448 - [c26]Geonho Bang, Kwangjin Choi, Jisong Kim, Dongsuk Kum, Jun Won Choi:
RadarDistill: Boosting Radar-Based Object Detection Performance via Knowledge Distillation from LiDAR Features. CVPR 2024: 15491-15500 - [c25]Sanmin Kim, Youngseok Kim, Sihwan Hwang, Hyeonjun Jeong, Dongsuk Kum:
LabelDistill: Label-Guided Cross-Modal Knowledge Distillation for Camera-Based 3D Object Detection. ECCV (56) 2024: 19-37 - [c24]Hyeong-Seok Jeon, Sanmin Kim, Abi Rahman Syamil, Junsoo Kim, Dongsuk Kum:
Beyond the Data Imbalance: Employing the Heterogeneous Datasets for Vehicle Maneuver Prediction. ECCV (56) 2024: 38-53 - [c23]Joonhee Lim, Kibeom Lee, Jangho Shin, Dongsuk Kum:
Learning Terminal State of the Trajectory Planner: Application for Collision Scenarios of Autonomous Vehicles. ICRA 2024: 7576-7582 - [c22]Jisong Kim, Minjae Seong, Geonho Bang, Dongsuk Kum, Jun Won Choi:
RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection. ICRA 2024: 18236-18242 - [i13]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 abs/2403.05061 (2024) - [i12]Sanmin Kim, Youngseok Kim, Sihwan Hwang, Hyeonjun Jeong, Dongsuk Kum:
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection. CoRR abs/2407.10164 (2024) - 2023
- [j24]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): 2038-2045 (2023) - [j23]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): 1801-1813 (2023) - [j22]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): 6477-6490 (2023) - [j21]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): 1649-1661 (2023) - [c21]Youngseok Kim, Sanmin Kim, Jun Won Choi, Dongsuk Kum:
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer. AAAI 2023: 1160-1168 - [c20]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: 17569-17580 - [c19]Sanmin Kim, Youngseok Kim, In-Jae Lee, Dongsuk Kum:
Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images. ICCV 2023: 18011-18020 - [c18]Sihwan Hwang, Sanmin Kim, Youngseok Kim, Dongsuk Kum:
Joint Semi-Supervised and Active Learning via 3D Consistency for 3D Object Detection. ICRA 2023: 4819-4825 - [i11]Juyeb Shin, François Rameau, Hyeonjun Jeong, Dongsuk Kum:
InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning. CoRR abs/2301.04470 (2023) - [i10]Youngseok Kim, Sanmin Kim, Juyeb Shin, Jun Won Choi, Dongsuk Kum:
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception. CoRR abs/2304.00670 (2023) - [i9]Sanmin Kim, Youngseok Kim, In-Jae Lee, Dongsuk Kum:
Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images. CoRR abs/2306.08528 (2023) - [i8]Ji Song Kim, Minjae Seong, Geonho Bang, Dongsuk Kum, Jun Won Choi:
RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection. CoRR abs/2307.10249 (2023) - 2022
- [j20]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: 104014 (2022) - [j19]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): 3498-3509 (2022) - [j18]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): 17594-17606 (2022) - [c17]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: 1210-1218 - [c16]Geunyoung Park, Juntae Park, Dongsuk Kum:
Preview Control of Dog clutch-based Electric Vehicle Transmission via Dynamic Programming: Proof of Concept. CCTA 2022: 683-690 - [c15]Toumadher Barhoumi, Dongsuk Kum:
Systematic Design of Fixed Gear Modes for Novel Multi-Mode Architectures: A Prius Case Study. ECC 2022: 1212-1217 - [c14]Sangmin Sim, Youngseok Kim, Dongsuk Kum:
Sequential Image-based 3D Object Detection with Location Refinement. ICPR 2022: 3625-3631 - [i7]Sanmin Kim, Hyeong-Seok Jeon, Junwon Choi, Dongsuk Kum:
Improving Diversity of Multiple Trajectory Prediction based on Map-adaptive Lane Loss. CoRR abs/2206.08641 (2022) - [i6]Youngseok Kim, Sanmin Kim, Jun Won Choi, Dongsuk Kum:
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer. CoRR abs/2209.06535 (2022) - [i5]Youngseok Kim, Sanmin Kim, Sangmin Sim, Jun Won Choi, Dongsuk Kum:
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision. CoRR abs/2210.16574 (2022) - [i4]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 abs/2211.13529 (2022) - 2021
- [c13]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: 14636-14645 - [i3]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 abs/2104.00249 (2021) - [i2]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 abs/2112.07116 (2021) - 2020
- [j17]Daejun Kang, Dongsuk Kum:
Camera and Radar Sensor Fusion for Robust Vehicle Localization via Vehicle Part Localization. IEEE Access 8: 75223-75236 (2020) - [j16]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): 3799-3810 (2020) - [c12]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: 388-402 - [c11]Jin Hyeok Yoo, Dongsuk Kum, Jun Won Choi:
ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection. ICPR 2020: 4505-4512 - [c10]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: 2095-2102 - [c9]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: 10857-10864 - [c8]Sanmin Kim, Dongsuk Kum, Junwon Choi:
RECUP Net: RECUrsive Prediction Network for Surrounding Vehicle Trajectory Prediction with Future Trajectory Feedback. ITSC 2020: 1-6 - [i1]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 abs/2002.12609 (2020)
2010 – 2019
- 2019
- [j15]Kibeom Lee, Dongsuk Kum:
Collision Avoidance/Mitigation System: Motion Planning of Autonomous Vehicle via Predictive Occupancy Map. IEEE Access 7: 52846-52857 (2019) - [j14]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: 84744-84756 (2019) - [j13]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: 109120-109133 (2019) - [j12]Yeongho Son, Elijah S. Lee, Dongsuk Kum:
Robust multi-lane detection and tracking using adaptive threshold and lane classification. Mach. Vis. Appl. 30(1): 111-124 (2019) - [j11]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: 178-189 (2019) - [j10]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): 486-497 (2019) - [j9]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): 3129-3141 (2019) - [j8]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): 3765-3770 (2019) - [j7]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): 3832-3843 (2019) - [c7]Youngseok Kim, Dongsuk Kum:
Deep Learning based Vehicle Position and Orientation Estimation via Inverse Perspective Mapping Image. IV 2019: 317-323 - 2018
- [j6]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): 2965-2976 (2018) - [c6]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: 1496-1501 - 2017
- [j5]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): 5604-5616 (2017) - [c5]Elijah S. Lee, Dongsuk Kum:
Feature-based lateral position estimation of surrounding vehicles using stereo vision. Intelligent Vehicles Symposium 2017: 779-784 - 2016
- [j4]Shengbo Eben Li, Shaobing Xu, Dongsuk Kum:
Efficient and accurate computation of model predictive control using pseudospectral discretization. Neurocomputing 177: 363-372 (2016) - [c4]Seungje Yoon, Dongsuk Kum:
The multilayer perceptron approach to lateral motion prediction of surrounding vehicles for autonomous vehicles. Intelligent Vehicles Symposium 2016: 1307-1312 - 2015
- [j3]Feng Gao, Shengbo Eben Li, Dongsuk Kum, Hui Zhang:
Synthesis of multiple model switching controllers using H∞ theory for systems with large uncertainties. Neurocomputing 157: 118-124 (2015) - [c3]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: 1220-1225 - 2014
- [c2]Seungmin Jeong, Young Jae Jang, Dongsuk Kum:
Design optimization of the OLEV system considering battery lifetime. ITSC 2014: 2492-2498 - 2013
- [j2]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): 14-26 (2013) - 2012
- [j1]Xiaowu Zhang, Chiao-Ting Li, Dongsuk Kum, Huei Peng:
Prius+ and Volt-: Configuration Analysis of Power-Split Hybrid Vehicles With a Single Planetary Gear. IEEE Trans. Veh. Technol. 61(8): 3544-3552 (2012) - 2011
- [c1]Dongsuk Kum, Huei Peng, Norman K. Bucknor:
Optimal catalyst temperature management of Plug-in Hybrid Electric Vehicles. ACC 2011: 2732-2738
Coauthor Index
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