Publication

2026

• Dahyun Kim, Yunseong Jeon, Hongkyun Park, and Jong-Chan Kim, Stream-to-Act: ROS 2 Native Token Streaming for Smooth, Real-Time Control Loops, IEEE International Conference on Robotics and Automation (ICRA 2026), June 2026.
• Eunwoo Kim, Hongkyun Park, Nahyun Lee, Kil Young Lee, Sangyoung Park, and Jong-Chan Kim, E-Platoon: e-Truck Platoon Simulator Based on CARLA Towards Platoon-level Battery Management, 37th IEEE Intelligent Vehicles Symposium (IV 2026), June 2026.
• Taewook Ahn, Wonseok Song, Sol Ahn, Jong-Chan Kim, and Yongsoon Eun, Rear-First Lane Change Protocol with Scale Trucks by Cooperative Perception for Safe Platooning, 37th IEEE Intelligent Vehicles Symposium (IV 2026), June 2026.
• Woosung Kang, Filippo Muzzini, Gianluca Brilli, Jong-Chan Kim, Jinkyu Lee, and Hoon Sung Chwa, ZeroSwap: Toward Swapless Real-Time Multi-DNN Inference via SSD-based GPU Memory Extension, 32nd IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2026), May 2026.
• Wonseok Song, Sanghoon Jeon, and Jong-Chan Kim, TEE-based On-demand Key Distribution for Hierarchical In-Vehicle Zonal Architecture, 29th Design, Automation and Test in Europe Conference (DATE 2026), April 2026.

2025

• Changjo Cho, Hamin An, Jangho Shin, and Jong-Chan Kim, Container-based Fail-operational System Architecture for Software-Defined Vehicles, Vol. 17, No. 5, Oct. 2025, Embedded Systems Letters (SCIE).
• Yongseong Lee, Wonseok Song, Sol Ahn, and Jong-Chan Kim, V-Platoon: Timing-accurate Simulation for Virtual Truck Platooning, 36th IEEE Intelligent Vehicles Symposium (IV 2025), June 2025.
• Sol Ahn, Jaehyuck Kim, Seungwoo Roh, and Jong-Chan Kim, Selective Layer Acceleration with Data-parallel Architecture for DNN Inference Throughput Maximization, 4th Real-time and Intelligent Edge Computing Workshop (RAGE 2025), May 2025.

2024

• Yongseong Lee, Nayoung Oh, Bongsob Song, and Jong-Chan Kim, Real-Time Implementation of DNN-based Collision Risk Assessment, The 22nd Asia Pacific Automotive Engineering Conference in 2024 (2024 APAC 22), November 2024.
• Ho kang, Changjo Cho, Sol Ahn, Jangho Shin, Sanghoon Jeon, and Jong-Chan Kim, Band-S: Secure Band to Evade Cram Attacks to Queuing Disciplines for Ethernet-based In-Vehicle Networks, 35th IEEE Intelligent Vehicles Symposium (IV 2024), June 2024.
• Yongseong Lee and Jong-Chan Kim, Memory Access Performance Analysis for Aurix Multicore MCU, 37th International Electric Vehicle Symposium and Exhibition (EVS37), April 2024.

2023

• Sol Ahn, Seungha Kim, Ho Kang, and Jong-Chan Kim, Data-parallel Real-Time Perception System with Partial GPU Acceleration for Autonomous Driving, 2023 Symposium on Machine Learning for Autonomous Driving (ML4AD 2023), Dec. 2023.
• Hongsuk Kim, Yongseong Lee, Jangho Shin, and Jong-Chan Kim, Demonstrating Linearly Scalable Cluster-based Object Detection System without Delay Overhead, RTSS@Work 2023, Dec. 2023.
• Hongsuk Kim, Yongseong Lee, Jangho Shin, and Jong-Chan Kim, Cluster-based Object Detection System with Scalable Performance for Autonomous Driving, 23rd International Conference on Control, Automation and Systems (ICCAS 2023), Oct., 2023.
• Saehanseul Yi, Tae-Wook Kim, Jong-Chan Kim, and Nikil Dutt, EASYR: Energy-Efficient Adaptive System Reconfiguration for Dynamic Deadlines in Autonomous Driving on Multicore Processors, ACM Transactions on Embedded Computing Systems (TECS), Vol. 22, No. 3, May. 2023. (SCIE)
• Changjin Koo, Jaegeun Park, Taewook Ahn, Hongsuk Kim, Jong-Chan Kim, and Yongsoon Eun, Phalanx: Failure-Resilient Truck Platooning System, 26th Design, Automation and Test in Europe Conference (DATE 2023), April, 2023.
• Jinwoong Won, Sangwoon Yun, Ahn Jemin, Jong-Chan Kim and Kyungtae Kang, Spidermine: Low Overhead User-Level Prefetching, 38th ACM/SIGAPP Symposium on Applied Computing (SAC 2023), Mar. 2023.

2022

• Seungha Kim, Ho Kang, Sol Ahn, Kyungtae Kang, Nikil Dutt, and Jong-Chan Kim, Demonstrating R-TOD: Real-Time Object Detector with Minimized End-to-End Delay, RTSS@Work 2022, Dec. 2022.
• Mingoo Ji, Saehanseul Yi, Changjin Koo, Sol Ahn, Dongjoo Seo, Nikil Dutt, and Jong-Chan Kim, Demand Layering for Real-Time DNN Inference with Minimized Memory Usage, 43rd IEEE Real-Time Systems Symposium (RTSS 2022), Dec. 2022.
• Hyeongyu Lee, Jaegeun Park, Changjin Koo, Jong-Chan Kim, and Yongsoon Eun, Cyclops: Open Platform for Scale Truck Platooning, IEEE International Conference on Robotics and Automation (ICRA 2022), May 2022.
• Jaesung Jang, Hyeongyu Lee, and Jong-Chan Kim, CarFree: Hassle-free Object Detection Dataset Generation using Carla Autonomous Driving Simulator, Applied Sciences, Vol. 12, No. 1, Jan. 2022. (SCIE)

2021

• Taewook Kim, Hyeongyu Lee, and Jong-Chan Kim, Sliding Window Correction for Platooning Lane Detection, Transactions of KSAE, Vol. 29, No. 11, Nov. 2021. (SCOPUS & KCI)
• Mingoo Ji, Saehanseul Yi, Jong-Chan Kim, and Nikil Dutt, Demand Layering for Accommodating Multiple Neural Networks in Memory-Constrained Embedded Systems, Architecture, Compiler, and System Support for Multi-model DNN Workloads Workshop (ACSDM 2021) in conjunction with MICRO 2021, Oct. 2021.
• Biswadip Maity, Saehanseul Yi, Dongjoo Seo, Leming Cheng, Sung-Soo Lim, Jong-Chan Kim, Bryan Donyanavard, and Nikil Dutt, Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems, ACM Transactions on Embedded Computing Systems (TECS), Vol. 20, No. 5s, Oct. 2021. (SCIE)
• Saehanseul Yi, Tae-Wook Kim, Jong-Chan Kim, and Nikil Dutt, Energy-Efficient Adaptive System Reconfiguration for Dynamic Deadlines in Autonomous Driving, 24th International Symposium on Real-Time Distributed Computing (ISORC 2021), June 2021.
• Jaesung Jang, Hansaem Jeong, and Jong-Chan Kim, Minimizing Fault Handling Time Interval of Camera Sensor Failure for Fail-Operational Autonomous Driving Systems, Journal of Institute of Control, Robotics, and Systems, Vol. 27, No. 2, Feb. 2021. (SCOPUS & KCI)

2020

• Wonseok Jang, Hansaem Jeong, Kyungtae Kang, Nikil Dutt, and Jong-Chan Kim, R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving, 41st IEEE Real-Time Systems Symposium (RTSS 2020), Dec. 2020. (Acceptance rate = 20%)
• Tae-Wook Kim, Won-Seok Jang, Jaesung Jang, and Jong-Chan Kim, Camera and Radar-based Perception System for Truck Platooning, 20th International Conference on Control, Automation, and Systems (ICCAS 2020), Oct. 2020.
• Daeho Choi, Tae-Wook Kim, and Jong-Chan Kim, AUTOSAR Runnable Periods Optimization for DAG-Based Complex Automobile Applications, Applied Sciences, Vol. 10, No. 17, Sep. 2020. (SCIE)
• Daeho Choi, Gun-Min Lee, Wootae Jeon, and Jong-Chan Kim, Control Performance-aware AUTOSAR Runnable Scheduling, Transactions of KSAE, Vol. 28, No. 1, Jan. 2020. (SCOPUS & KCI)

2019

• Wootae Jeon, Kyungtae Kang, and Jong-Chan Kim, End-to-End Delay Analysis and Optimization of Object Detection Module for Autonomous Driving, in NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving (ML4AD), Dec. 2019.
• Tae-Wook Kim and Jong-Chan Kim, Enhanced Lane Detection Method for Truck Platooning, Communications of the KIISE, Sep. 2019.
• Daeho Choi, Wootae Jeon and Jong-Chan Kim, AUTOSAR Runnable Scheduling for Automobile Control Application’s Optimal Performance, in 25th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) WiP Session, April 2019.

2018

• Tae-Wook Kim, Gun-Min Lee, and Jong-Chan Kim, AUTOSAR Runnable Scheduling for Optimal Tradeoff between Control Performance and CPU Utilization, in the 18th International Conference on Control, Automation, and Systems (ICCAS), Oct. 2018.

2016

• Jihwa Lee, Jong-Chan Kim, and Chang-Gun Lee, ECU Consolidation for Multiple Automotive Applications with Adaptive Variable-Rate Tasks, FISITA World Automotive Congress, Busan, Korea, Sep. 2016.
• Hyun-Jun Cha, Woo-Hyuk Jeong, and Jong-Chan Kim, Control-Scheduling Co-design Exploiting Trade-off Between Task Periods and Deadlines, Mobile Information Systems (MIS), Vol. 2016, April 2016. (SCIE)

2015

• Hyun-Jun Cha, Seong-Woo Park, Woo-Hyuk Jeong, and Jong-Chan Kim, Performance Tradeoff Between Control Period and Delay: Lane Keeping Assist System Case Study, Journal of The Korean Society of Computer and Information, Vol. 20, No. 11, Nov. 2015. (KCI)
• Seongkyoon Jeong, Jong-Chan Kim, Jae Young Choi, Technology convergence: What developmental stage are we in?, Scientometrics, Vol. 104, No. 3, Sep. 2015. (SSCI & SCIE)

2014

• Kyoung-Soo We, Chang-Gun Lee, Yuyeon Oh, Junyung Lee, Kyuwon Kim, and Kyongsu Yi, and Jong-Chan Kim, ECU-in-the-Loop Real-Time Simulation Technique for Developing Integrated Vehicle Safety System, Proceeding of theInternational Conference on Control, Automation, and Systems (ICCAS 2014), Ilsan, Korea, Oct. 2014.
• Jong-Chan Kim, Kyoung-Soo We, Chang-Gun Lee, Yuyeon Oh, Junyung Lee, Kyuwon Kim, and Kyongsu Yi, Integrated Vehicle Safety Control Development: ECU-in-the-Loop Real-Time Simulation Case Study, Design Automation Conference (DAC 2014) WiP Poster Session, San Francisco, USA, June 2014.

~ 2013

• Duhee Lee, Jong-Chan Kim, Chang-Gun Lee, and Kanghee Kim, mRT-PLRU: A General Framework for Real-Time Multi-Task Executions on NAND Flash Memory, IEEE Transactions on Computers, Vol. 62, No. 4, Apr. 2013.
• Kyoung-Soo We, Jong-Chan Kim, Yuyeon Oh, Sangmin Jeong, and Chang-Gun Lee, Demo Abstract: An Efficient and Easilly Reconfigurable Cyber-Physical Simulator, in International Conference on Cyber-Physical Systems (ICCPS 2013), Philadelphia, USA, pp. 245, Apr. 2013.
• Kyoung-Soo We, Jae-Hwa Han, Jong-Chan Kim, Yuyeon Oh, Chiyoung Oh, and Chang-Gun Lee, A Novel Real-Time Simulator for Smooth Development of CPSs from All-Simulated Systems to All-Real Systems, in 33rd IEEE Real-Time Systems Symposium, San Juan, Puerto Rico, Dec. 2012 (RTSS@Work).
• Jong-Chan Kim, Kyoung-Soo We, Chang-Gun Lee, Kwei-Jay Lin, and Yun Sang Lee, HW Resource Componentizing for Smooth Migration from Single-function ECU to Multi-function ECU, in the 27th ACM Symposium on Applied Computing (SAC’12), Trento, Italy, Mar. 2012.
• Kyoung-Soo We, Jong-Chan Kim, and Chang-Gun Lee, A Novel Simulation Framework for Supporting Real-Time Cyber-Physical Interactions, in the 1st International Workshop on Large-Scale Cyber-Physical Systems (LCPS), Irvine, USA, Dec. 2011.
• Jong-Chan Kim, Duhee Lee, Chang-Gun Lee, and Kanghee Kim, RT-PLRU: A New Paging Scheme for Real-Time Execution of Program Codes on NAND Flash Memory for Portable Media Players, in IEEE Transactions on Computers, Vol. 60, Issue 8, pp. 1126-1141, Aug. 2011.
• Jong-Chan Kim, Kyoung-Soo We, and Chang-Gun Lee, HW Resource Componentizing for Addressing the Mega-Complexity of Cyber-Physical Systems, in the 1st International Workshop on Cyber-Physical Systems, Networks, and Applications (CPSNA’11), Toyama, Japan, Aug. 2011.
• Jong-Chan Kim, Kyoung-Soo We, and Chang-Gun Lee, HW Componentizing Kernel: A New Approach to address the Mega Complexity of Future Automotive CPS, in NIST/NSF/USCAR Workshop on Developing Dependable and Secure Automotive Cyber-Physical Systems from Components, Troy, USA, Mar. 2011.
• Jong-Chan Kim, Duhee Lee, Chang-Gun Lee, Kanghee Kim, and Eun Young Ha, Real-Time Program Execution on NAND Flash Memory for Portable Media Players, in 29th IEEE Real-Time Systems Symposium, Barcelona, Spain, Nov. 2008.
• Duhee Lee, Jong-Chan Kim, and Chang-Gun Lee, Practical Paging Strategy for Real-Time Code Execution of Media Player on NAND Flash Memory, in The International Workshop on Software Support for Portable Storage, Atlanta, U.S., Oct. 2008.

Patents

• METHOD AND APPARATUS FOR GENERATING TRAINING DATA FOR OBJECT RECOGNITION (Application in Korea) (No. 10-2021-0185210) (2021.12.22)
• SLIDING WINDOW CORRECTION FOR PLATOONING LANE DETECTION (Application in Korea) (No. 10-2021-0172645) (2021.12.06)
• OBJECT DETECTION APPARATUS AND METHOD TO MINIMIZE END-TO-END DELAY AND ADVANCED DRIVER ASSISTANCE DEVICE USING THE SAME (PCT Application) (No. PCT/KR2020/018341) (2020.12.15)
• OBJECT DETECTION APPARATUS AND METHOD TO MINIMIZE END-TO-END DELAY AND ADVANCED DRIVER ASSISTANCE DEVICE USING THE SAME (Application in Korea) (No. 10-2020-0148121) (2020.11.06)
• APPARATUS AND METHOD OF OPTIMIZING CONTROL PERFORMANCE BY RUNNABLE PERIOD DETERMINATION (Registered in Korea) (No. 1021350340000) (2020.07.13)
• METHOD AND APPARATUS OF OPTIMIZING CONTROL TASK CO-DESIGN EXPLOITING SCHEDULING-CONTROL PERFORMANCE (Registered in Korea) (No. 1017793420000) (2017.09.12)
• RUNNING PERFORMANCE TEST SERVER, TEST SYSTEM HAVING THE SAME, TESTING METHOD USING THE SAME (Registered in Korea) (No. 1017425360000) (2017.05.26)
• METHOD OF MANAGING VEHICLE IN MESSAGE SERVER AND THE METHOD IN VEHICLE TERMINAL (Registered in Korea) (No. 1017287850000) (2017.04.14)
• MESSAGE SERVER, METHOD FOR PROVIDING NAVIGATION SERVICE USING THE SAME (Registered in Korea) (No. 1017121180000) (2017.02.24)
• ECU CONNECTOR, ECU MAPPING SYSTEM HAVING THE SAME, ECU MAPPING METHOD USING THE SAME (Registered in Korea) (No. 1016943550000) (2017.01.03)
• RUNNING PERFORMANCE TEST SERVER, TEST SYSTEM HAVING THE SAME, TESTING METHOD USING THE SAME (Registered in Korea) (No. 1016902800000) (2016.12.21)

Domestic Conference Papers

• Changjo Cho, Hamin An, Jangho Shin, and Jong-Chan Kim, Container-based Fail-operational Distributed Cluster System for SDV, KSAE Conference, May. 2025.
• Hamin An, Juyeon Park, Minsung Ko, Jaeheon Kim, Hyeonjin Cha, Jinhwan Kim and JongChan Kim, Performance Comparison of Embedded Boards for F1-TENTH Driving, KSAE Conference, Nov. 2024.
• Eunwoo Kim and Jong-Chan Kim, Multi-Agent Reinforcement Learning for Energy Management in Electric Truck Platooning, KSAE Conference, Nov. 2024.
• Wonseok Song, Jaehyuck Kim and Jong-Chan Kim, Ethernet Communication Overhead Analysis for Image Data Encryption, KSAE Conference, Nov. 2024.
• Yongseong Lee, Wonseok Song and Jong-Chan Kim, Virtual Truck Platooning Testbed by CARLA Autonomous Driving Simulator, KSAE Conference, Nov. 2024.
• Sol Ahn and Jong-Chan Kim, Deep Neural Network System Optimization Techniques for Autonomous Driving, Korea Computer Congress (KCC), Dec. 2023
• Yongseong Lee and Jong-Chan Kim, Analysis of Memory Access Time in Aurix TC275 Multicore Processor, KSAE Conference, Nov. 2023.
• Ho Kang, Changjo Cho and Jong-Chan Kim, Enhanced SOME/IP Implementation using Linux Queuing Disciplines, KSAE Conference, Nov. 2023.
• Hongseok Kim, Yongseong Lee and Jong-Chan Kim, High-performance Perception System based on Distributed Cluster Architecture for Autonomous Driving, KSAE Conference, Nov. 2023.
• Ho Kang, Seoungha Kim and Jong-Chan Kim, Optimizing Camera Transfer Delay by Maximally Exploiting USB Bandwidth, KSAE Conference, Nov. 2023.
• Seoungha Kim, Sol Ahn and Jong-Chan Kim, Data-Parallel Real-Time Perception Architecture for Maximizing Frame Rate, KSAE Conference, Nov. 2023.
• Taewook Ahn, Wonseok Song and Jong-Chan Kim, Safe Lane Change for Truck Platooning, KSAE Conference, Nov. 2023.
• Sungmin Cho, Seongmin Hwang, Jaeha Lee, Wonseok Song, Yunseo Han, Yunjae Shin and Jong-Chan Kim, CAN Message Encryption for Enhancing Vehicle Security, KSAE Conference, May. 2023.
• Sol Ahn, Changjin Koo and Jong-Chan Kim, Layer-by-Layer DNN Loading for Minimized Memory Usage, KSAE Conference, Nov. 2022.
• Seoungha Kim and Jong-Chan Kim, End-to-end Delay Optimization for Darknet-based Object Detection, KSAE Conference, Nov. 2022.
• Changjin Koo, Taewook Ahn and Jong-Chan Kim, Sensor Failure Mitigation Strategy for Truck Platooning, KSAE Conference, Nov. 2022.
• Taewook Ahn, Changjin Koo and Jong-Chan Kim, Mitigation Scenario for Multiple Sensor Failures in Truck Platooning, KSAE Conference, Nov. 2022.
• In Choi, Hongseok Kim and Jong-Chan Kim, AUTOSAR Runnable Sequencing for Minimized End-to-End Delays, KSAE Conference, Nov. 2022.
• Hongseok Kim, In Choi and Jong-Chan Kim, Real-Time Scheduling Simulation For AUTOSAR Systems, KSAE Conference, Nov. 2022.
• In Choi and Jong-Chan Kim, Exact Delay Estimation for AUTOSAR Systems, Korea Computer Congress (KCC), Jun. 2022
• Changjin Koo and Jong-Chan Kim, Multi-camera Implementation of Darknet YOLO Object Detector, Korea Computer Congress (KCC), June. 2021.
• Mingoo Ji and Jong-Chan Kim, Neural Network Switching of Real-Time Object Detector for Autonomous Driving, Korea Computer Congress (KCC), June. 2021.
• In Choi and Jong-Chan Kim, V2V Communication Failure Detection for Truck Platooning, Korea Computer Congress (KCC), June. 2021.
• Mingoo Ji and Jong-Chan Kim, Co-optimizing delay and energy in autonomous driving perception system, Joint Conference on Communications and Information (JCCI), Apr. 2021.
• Wonseok Jang, Hansaem Jeong, and Jong-Chan Kim, Darknet YOLO End-to-end Delay Analysis and Optimization, KSAE Conference, Nov. 2020.
• Jaesung Jang, Hansaem Jeong, and Jong-Chan Kim, Design and Analysis of Dual Camera Systems for Fail-Operational Autonomous Driving, KSAE Conference, Nov. 2020.
• Mingoo Ji and Jong-Chan Kim, Object Detection Based on Sensor Fusion for Truck Platooning, KSAE Conference, Nov. 2020.
• Hyeongyu Lee, Jaesung Jang and Jong-Chan Kim, Scale Truck Platooning Testbed, KSAE Conference, Nov. 2020.
• Jaesung Jang and Jong-Chan Kim, Automatic Ground Truth Generation for Vehicle Object using Autonomous Driving Simulator, KSAE Conference, Nov. 2020.
• Wootae Jeon, Wonseok Jang, and Jong-Chan Kim, Scheduling Optimization of Object Detection System for Autonomous Driving, KSAE Conference, Nov. 2019.
• Woonghyun Ka, Sangpil Lee, Jahyong Choi, and Jong-Chan Kim, Feature Comparison of Open-source Autonomous Driving Simulators, KSAE Conference, Nov. 2019.
• Tae-Wook Kim, Won-Seok Jang, and Jong-Chan Kim, Perception System for Truck Platooning, KSAE Conference, Nov. 2019.
• Wootae Jeon and Jong-Chan Kim, Real-Time Performance Analysis and Optimization on Embedded Object Detection System, Korea Computer Congress (KCC), June 2019.
• Tae-Wook Kim, Won-Seok Jang, and Jong-Chan Kim, Dynamic ROI(Region of Interest)-based Lane Detection for Truck Platooning, Korea Computer Congress (KCC), June 2019.
• Gun-Min Lee and Jong-Chan Kim, AUTOSAR Runnable Scheduling for Optimal Control Performance, KSAE Conference, Sep. 2017.
• Gun-Min Lee and Jong-Chan Kim, Model-based Design and Validation of ADAS on Multicore Environment, KSAE Conference, May 2017.
• Gun-Min Lee, Hyun-Jun Cha, and Jong-Chan Kim, Model-based Design and Validation of ADAS Control Software on Multicore ECU, KSAE Conference, Sep. 2016.
• Hwan-Joo Kwak, Tae-Kyoung Lee, Hyun-Jun Cha, Jae-Hak Park, and Jong-Chan Kim, Shared Resource Protection for Singlecore to Multicore ECU Migration, IEIE Conference, June 2016.