NOTICE DrivComp 2018 workshop homepage opens.

NOTICE EasyChair for DrivComp 2018 opens. Authors can register and submit their papers now.

NOTICE Workshop program has been announced.

Call for Participation

The 1st International Workshop on Driving Computing Platform for Autonomous Vehicles (DriveComp 2018)
January 2018, Shanghai, China
In conjunction with IEEE BigComp 2018

Purpose and Scope

Driving Computing Platform (DrivComp) is a development workbench technology for high performance computing system and application system for autonomous vehicles that provides high-speed real-time processing of large-volume data obtained from various vehicle sensors and real-time situation assessment. In this workshop, we would like to discuss research outcomes of DrivComp project, consisting of hardware platform, software platform, driving situation reasoning, recognition of road mark and traffic signs, and vehicle control system.

Prospective authors are cordially invited to submit their original contributions covering completed or ongoing work related to the area of driving computing technologies for autonomous vehicles. The topics include but are not limited to:

• High performance computing platform for autonomous vehicles
• Software architecture for autonomous vehicles
• Driving situation awareness for autonomous vehicles
• Driving strategy decision making for autonomous vehicles
• Driving motion planning for autonomous vehicles
• Road object detection and tracking for autonomous vehicles
• Road infrastructure recognition for autonomous vehicles

Paper Submission

Prospective authors are invited to submit their papers, 2~4 pages, in English according to the IEEE two-column format for conference proceedings. The direct link for paper submission is EasyChair. All submissions will be peer-reviewed by the Program Committee of the workshop.

Important Dates

• Paper Submission Due 	    Nov 05, 2017
• Notification of Acceptance    Nov 19, 2017
• Camera-Ready Papers Due   Nov 27, 2017
• Author Registration Due	    Nov 27, 2017
• Workshop Date			    Jan 15, 2018

Organizational Committee

Program Co-Chairs

• Young-guk Ha, Konkuk University, Korea
• Sung-hoon Kim, ETRI, Korea

Program Committee

• Han-min Jung, KISTI, Korea
• Chang-eun Lee, ETRI, Korea
• Woo-young Kwon, Wisenut, Korea
• Gang-il Kim, Konkuk University, Korea
• Chang-song Oh, ATechTn, Korea
• Jung-Gu Kim, VisionST, Korea
• Min-su Jang, ETRI, Korea
• Tae-hong Kim, KISTI, Korea
• Ryong Lee, KISTI, Korea


Time Paper Title Authors
14:00 ~ 14:30 OpenCL-Darknet: An OpenCL Implementation for Object Detection Yongbon Koo, Chayoung You, Sunghoon Kim
14:30 ~ 15:00 Image Preprocessing for Efficient Training of YOLO Deep Learning Networks Hyeok-June Jeong, Kyeong-Sik Park, Young-Guk Ha
15:00 ~ 15:30 Hybrid Approach for Efficient Quantization of Weights in Convolutional Neural Networks Sanghyun Seo, Juntae Kim
15:30 ~ 16:00 Coffee Break
16:00 ~ 16:30 Multi-Camera Based Local Position Estimation for Moving Objects Detection Jinwoo Kim, Yongbon Koo, Sunghoon Kim
16:30 ~ 17:00 Correlation Analysis between Vehicular Traffic and PM Using Sensor Big Data Cheol-Jin Kim, Sung-Hoon Park, Young-Guk Ha
17:00 ~ 17:30 Road and Lane Detection Using Stereo Camera Jung-Gu Kim, Jae-Hyung Yoo, Ja-Cheol Koo
17:30 ~ 18:00 Motion Control Block Implementation for Driving Computing System Myungwook Park, Yongbon Koo, Sunghoon Kim
18:00 ~ 18:30 Formal Modeling and Verification of Serial Communication for Autonomous Vehicles Hyeok-June Jung, Kyoneg-Sik Park, Cheol-Jin Kim, Young-Guk Ha


Big Data Research Institute of Konkuk Universiry