[robotics-worldwide] [meetings] CFP ICIAR 2019 - Special Session on Image Analysis and Recognition for Automotive Industry

Sajad Saeedi s.saeedi at imperial.ac.uk
Sat Mar 9 15:13:22 PST 2019


CALL FOR PAPER

Title: Image Analysis and Recognition for Automotive Industry, Special 
Session
ICIAR 2019, Waterloo Ontario Canada

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Important Dates:

Paper submission deadline: March 18th, 2019
Author notification: May 10th, 2019
Conference Date:August 27th – 29th, 2019
Please refer to ICIAR19 for further information about submission: 
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.aimiconf.org_iciar19_&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=PJrDgNTib3-8nmKUeIKtNNay1r5RqUgF3IsX6KoWalM&s=eL5_IJbbDuTsIvEfWonbNz9ttdYm8xqByrYpYUwlGDw&e=

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Image analysis and recognition play more and more critical roles in the 
wave of technology revolution of the automotive industry. The emerging 
applications range from autonomous driving, advanced driver assistance 
system, to intelligent human machine interaction, just name a few. Image 
analysis and recognition has received an increasing amount of attention 
from researchers in academia, government laboratories and industry. This 
research activity has borne some fruit in tackling some of the 
challenging problems in automotive domain that are still open. This 
special session aims to present the most state-of-art advances in the 
field and bring expert insights from a well combination of academic and 
industrial point of view. Topics include but are not limited to:

Object Detection and Tracking
Image Segmentation
Scene Understanding
Road Condition Monitoring
3D Modeling and Mapping
Visual Odometry
Driver Behavior Recognition
Situation Awareness

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Organizers:

Dr. Alaa Khamis, General Motors Canada
Dr. Howard Li, University of New Brunswick, Canada
Dr. Sajad Saeedi, Imperial College London, UK
Dr. YunQian Miao, General Motors Canada

If you have any questions, please contact organizers at 
alaa.khamis at gm.com <mailto:alaa.khamis at gm.com>



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