How do self-driving cars work?
This presentation by Professor Philippe Giguère, from the Faculty of Science and Engineering, aims to demystify the technology behind these vehicles, which is based on two booming fields: artificial intelligence and mobile robotics.
Presentation Abstract
Soon, autonomous vehicles will become an integral part of the automotive landscape. Already, the Tesla company recently offered an autopilot module in a Beta version.
This presentation aims to demystify the technology behind these vehicles, which is based on two booming fields: artificial intelligence and mobile robotics. We will first give a brief history of this dream, which is more than fifty years old. Then we will discuss the types of sensors installed in these vehicles, as well as the algorithms that exploit the available information in order to carry out this task.
Finally, we will briefly cover a new trend: the use of consumer cars to collect training and test data.
Speaker bio
Associate professor, Faculty of Science and Engineering, Université Laval
Codirector, Norlab
Research Thrust Leader: Physical Environment, IID
Philippe Giguère, Eng. (B. Eng: Engineering Physics U. Laval, M.Sc.A.: Northeastern U., Ph.D.: U. McGill) has been an Assistant Professor in the Department of Computer Science and Software Engineering at Université Laval since 2010. He has more than 10 years of expertise in robotics and sensors, in addition to accumulating 6 years of experience in a private company on computer or on-board systems. He directs research in mobile robotics (Norlab) and artificial intelligence (DAMAS laboratory).
The main objective of his research is to increase the degree of autonomy of cyber-physical systems (intelligent robots), through the application of machine learning or data fusion methods. His projects in recent years have touched on computer vision, 3D point cloud processing, localization, gripping and tactile perception. He is a member of: (i) the FRQNT-REPARTI Cyberphysical Systems and Embedded Machine Intelligence Strategic Network, (ii) the Big Data Research Center (CRDM) of Université Laval and (iii) the NSERC Canadian Field Robotics Network (NCFRN).
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