Feb 2019
1 Hour
Access this Course
Review the motivations and methods for visual objects recognition. Focus on Machine-Learning and Machine-Learning algorithms. Consider deep-learning approaches for visual objects detection, recognition, and categorization.
Author Keywords: auto driving car, auto driving technology, automated cars, automated driving cars, automated vehicle technology, automotive sensors, autonomous car research, autonomous car technology, intelligent vehicles, autonomous vehicle technology, connected and autonomous vehicles, fully autonomous cars, automation, self automated cars, autonomous vehicles, automatic cars, automated cars, autonomous cars, self automated cars, self driving, self driving cars, connected vehicles, driverless cars, driverless vehicles
IEEE Keywords: Autonomous vehicles, Deep learning, Image recognition, Intelligent control, Intelligent systems, Intelligent transportation systems, Intelligent vehicles, Machine learning, Object detection, Transportation, Visualization
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?mdnumber=EW1549 More »
Level: Intermediate
Instructor
Fabien Moutarde
Dr. Fabien Moutarde is a Full Professor of Computational Intelligence at MINES ParisTech (PSL Université Paris). He teaches deep machine learning and teaches visual pattern recognition for intelligent vehicles at SJTU ParisTech Elite Institute of Technology, Shanghai and conducts applied research i... Show More
Instructor
Alexander Wyglinkski
Dr. Alexander M. Wyglinski is a Professor of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI), President of the IEEE Vehicular Technology Society, and Director of the Wireless Innovation Laboratory (WI Lab). His research interests are in the area of wireless communications,... Show More
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