Areas of research
- Artificial intelligence, robotics and autonomous systems
- Communications networks and services
- Internet of Things / machine-to-machine systems
- Advanced data management and analytics
- Human interaction with digital media
- Text mining and machine learning
- Software engineering
- Foundational research in theoretical computer science
Applying artificial intelligence to reinforce safety
Artificial intelligence, machine learning and deep learning are all closely related and deeply intertwined.
Artificial intelligence (AI) is all technology that tries to mimic some aspect of human behaviour. Machine learning, a sub-theme of AI, involves teaching machines to learn concepts.
Within this domain is the neural network domain, where the aim is not to design problem-solving algorithms, but rather to develop artificial neurons inspired by the brain. From this, researchers connect the neurons to see if they can learn something. The space within which the neurons are working together is called a neural network. Over the years, neural networks have evolved to a greater size, allowing for more complex learning. Deep learning is the result of this evolution; it is the space within which neural networks work together to learn new things.
Professor Robert Laganière is a key member of the VIVA Research Lab and focuses specifically on computer vision. Integrating AI into his work, Laganière conducts leading-edge research allowing him to contribute to society at large through two primary applications: autonomous driving and intelligent surveillance cameras.
Laganière contributes to this growing industry through the development of sensor pads that provide vital information to the car. Through the application of computer vision and machine learning techniques to the sensors, he ensures that the car gets the most accurate information possible, enabling key functionalities in autonomous vehicles. These sensors also enable the development of smarter driver assistance applications, where the driver is provided with useful information to help him or her drive better and more safely. The more accurate the image analysis, the smarter the software.
Intelligent Video Surveillance
Professor Laganière’s research in computer vision also touches upon intelligent video surveillance, taking camera footage to the next level. Whereas traditional surveillance cameras only recorded scenes, cameras used for intelligent video surveillance take what is recorded and interpret it to understand what is happening within the scene. As a result, this research allows for visual analytics, where consumer behaviour and information can be extracted from visuals, and abnormal event detection for security purposes, among many other applications.