default search action
Dongsuk Kum
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint