The 3rd International Workshop on Computing and Information Technology for Self-Driving and Autonomous Mobility

DrivComp 2020

February 19th-22th, Busan, South Korea In conjunction with IEEE BigComp 2020 Sponsored by Big Data Research Institute of Konkuk University

Purpose and Scope

Due to the recent advances in computing and information technologies, the transition to self-driving and autonomous mobility systems already has begun. We have been experienced self-driving cars, autonomous ground vehicles (AGVs) and mobile service robots in our daily life, and some leading companies are currently working on autonomous scooters and bikes.

In this workshop (DrivComp2020), we would like to discuss innovative research results about computing and information technologies, such as artificial intelligence (AI), machine learning, big data, IoT, V2X, to design, implement and operate self-driving and autonomous mobility systems.

Theme

Potential topics of DrivComp2020 include but are not limited to the following:

  • AI and machine learning for self-driving and autonomous mobility systems
  • Big data processing for self-driving and autonomous mobility systems
  • Cloud computing and service for self-driving and autonomous mobility systems
  • IoT and sensor networks for self-driving and autonomous mobility systems
  • V2X communications for self-driving and autonomous mobility systems
  • Control and operation of self-driving and autonomous mobility systems
  • Embedded SW and platforms for self-driving and autonomous mobility systems
  • SW architecture and frameworks for self-driving and autonomous mobility systems
  • UI/UX for self-driving and autonomous mobility systems

Important Dates

  • Deadline for Workshop Paper Submission October 31, 2019
  • Notification of Acceptance November 30, 2019
  • Camera-Ready Copy Due December 6, 2019
  • Author Registration Due December 30, 2019
  • Workshop Date February 19, 2020

Submission

All submissions must be in English and in PDF according to the IEEE two-column format for conference proceedings. All submissions will be peer-reviewed by the Program Committees of the workshop. Expected number of participants is 30 or more including presenters.

IEEE Conference Microsoft Word Template: IEEE_MSWord_Template.doc

Use the direct link for paper submission

Organizers

Young-guk Ha

Status: Professor, Konkuk University, Republic of Korea

Biography and experience: He received PhD degree in computer science from Korea Advanced Institute of Science and Technology (KAIST) in 2006. He worked for Electronics and Telecommunications Research Institute (ETRI) from 1995 to 2008 as a senior member of the engineering staff and University of Science and Technology (UST) as an adjunct professor from 2007 to 2008. He currently is a professor in the Department of Computer Science and Engineering and the director of Big Data Research Institute at Konkuk University. His research interests are in big data processing, machine learning, cloud computing, and knowledge processing.

Gon-woo Kim

Status: Professor, Chungbuk National University, Republic of Korea

Biography and experience: He received M.S. and Ph.D. degrees from Seoul National University, Korea in 2002 and 2006 respectively. He is currently a professor with the dept. of electrical engineering at Chungbuk National University, Korea. His research interests include autonomous navigation, localization and SLAM.

Committee

  • Dr. Han-min Jung (KISTI, Republic of Korea)
  • Dr. Chang-eun Lee (ETRI, Republic of Korea)
  • Dr. Min-su Jang (ETRI, Republic of Korea)
  • Dr. Tae-hong Kim (KIOM, Republic of Korea)
  • Dr. Woo-young Kwon (Wisenut, Republic of Korea)
  • Dr. Sung-hoon Kim (ETRI, Republic of Korea)
  • Mr. Chang-song Oh (ATechTn, Republic of Korea)
  • Mr. Joong-ku Kim (VST, Republic of Korea)
  • Prof. Hyung-soon Park (KAIST, Republic of Korea)