
Towards Safe and Efficient Embedded Intelligence
Featured (more)
We are developing a 1/14 scale truck platooning testbed for testing dangerous safety scenarios.
Moments Together (more)
Valuable moments together.
Research Highlights (more)
Demo video for “R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving” in RTSS 2020.
News (more)
- Prof. Jong-Chan Kim serves as the General Co-Chair of RTCSA 2024. (updated on Jan. 4, 2024)
- Our demo “Demonstrating Linearly Scalable Cluster-based Object Detection System without Delay Overhead” is presented during RTSS 2023 at Taipei.
- Our Paper “Data-parallel Real-Time Perception System with Partial GPU Acceleration for Autonomous Driving” is accepted in 2023 Symposium on Machine Learning for Autonomous Driving (ML4AD 2023). (updated on Nov. 25, 2023)
- Our global R&D project with Technische Universität Berlin “Accelerating the Electrification of Heavy-Duty Trucks with Vehicle-to-X Communication” is awarded funding from the National Research Foundation (NRF). (Dec. 1, 2023 ~ Nov. 30, 2024) (updated on Nov. 20, 2023)
- Prof. Jong-Chan Kim serves as a TPC member of DATE 2024 Initiative on Autonomous Systems Design (DATE-ASD 2024)
- Prof. Jong-Chan Kim serves as an editor of International Journal of Automotive Technology (IJAT) (From Sep., 2023)
- Prof. Jong-Chan Kim serves as a Technical Program Committee member of RTSS 2023 Brief Presentations Track (RTSS’23 BP). (Aug. 12, 2023)
- Prof. Jong-Chan Kim serves as a Publicity Chair of ISORC 2024. (Aug. 12, 2023)
- Our Paper “Cluster-based Object Detection System with Scalable Performance for Autonomous Driving” is accepted in International Conference on Control, Automation and Systems (ICCAS 2023). (July. 31, 2023)
- Our Paper “Phalanx: Failure-Resilient Truck Platooning System” is accepted in Design, Automation and Test in Europe Conference (DATE 2023). (Dec. 23, 2022)
- Our demo “Demonstrating R-TOD: Real-Time Object Detector with Minimized End-to-End Delay” is presented during RTSS 2022 at Houston, TX.
- A collaboration work with UCI “EASYR: Energy-Efficient Adaptive System Reconfiguration for Dynamic Deadlines in Autonomous Driving on Multicore Processors” is published in ACM Transactions on Embedded Computing Systems (TECS) (SCIE).
- Our Paper “Demand Layering for Real-Time DNN Inference with Minimized Memory Usage” is accepted in IEEE Real-Time Systems Symposium (RTSS 2022). (updated on Aug. 7, 2022)
- Our new research project “SSD-based Demand Layering for Multi-Task DNN Inference” is awarded funding from the National Research Foundation (NRF). (Mar. 2022 ~ Feb. 2025) (updated on Feb. 26, 2022)
- Our Paper “Cyclops: Open Platform for Scale Truck Platooning” is accepted in the IEEE International Conference on Robotics and Automation (ICRA 2022). (updated on Feb. 26, 2022)
- Our Paper “CarFree: Hassle-free Object Detection Dataset Generation using Carla Autonomous Driving Simulator” is published in Applied Sciences (SCIE). (updated on Feb. 26, 2022)
- Mingoo presented his work at Architecture, Compiler, and System Support for Multi-model DNN Workloads Workshop (ACSMD 2021) hosted by Facebook Research in conjunction with MICRO 2021. (Oct. 22, 2021) [YouTube]
- A collaboration work with UCI “Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems” is published in ACM Transactions on Embedded Computing Systems (TECS) (SCIE).
Domestic News
- 김종찬 교수 연구실이 멋쟁이사자처럼과 컨소시엄으로 교육부와 한국과학창의재단이 함께하는 ‘디지털 새싹 캠프’ 를 진행합니다. http://www.newsprime.co.kr/news/article/?no=608067
- 김종찬 교수가 2023 대한민국 스마트EV대상 심사위원으로 참여하였습니다.
- 김종찬 교수가 제1회 국제 대학생 자율주행 경진대회에서 주식회사 모라이로부터 우수지도교수상을 수상하였습니다. (2022년 6월 1일)
- 김종찬 교수가 2022 대한민국 스마트EV 대상에 심사위원으로 참여하였습니다.
- 김종찬 교수가 정보과학회 컴퓨터시스템소사이어티 2022 동계 컨퍼런스에서 “Temporal and Spatial Optimization of DNN-based Autonomous Driving Systems”라는 제목으로 2022년 2월 7일 발표를 했습니다.
- 김종찬 교수가 현대모비스가 후원하는 한국자동차공학회 이화세미나에서 “자율주행 인지 시스템 소프트웨어 최적화”를 주제로 2022년 1월 11일 발표를 했습니다.
- 김종찬 교수가 한국자동차공학회 전기전자시스템부문 자율주행을 위한 3D 인지 기술 교육 워크숍에서 “자율주행 인지를 위한 실시간 추론 시스템”을 주제로 2021년 8월 31일 발표를 했습니다.
- 김종찬 교수가 Siemens EDA Forum에서 “Trends and Prospects of Computer Systems for Automated Driving” 라는 제목으로 4월 14일 기조 강연을 합니다. (updated on Mar. 26, 2021)
- 김종찬 교수가 한국자동차공학회 국문논문집 편집위원으로 위촉되었습니다. (updated on Jan. 5, 2021)
- 김종찬 교수가 산업통상자원부 웹진 ‘통상’ 미래차 특집호에 자율주행차 개발 동향에 대한 기고를 하였습니다. (updated on Dec. 7, 2020)
About Us
AVEES lab is founded in 2014 by Prof. Jong-Chan Kim in the Graduate School of Automotive Engineering, Kookmin University.
Get In Touch
Email: jongchank at kookmin.ac.kr
Phone: +82-2-910-5508
Drop By
307 Innovation Partnership Building, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul, 02707, Korea





