Embedded sensor fusion network

Highly accurate 3D object detectors require significant computational resources, and reducing computation and memory load while maintaining the same level of performance is a critical task for any safe and reliable autonomous vehicle. This research project investigates the deployment of an accurate 3D object detection model to a resource constrained architecture by changing the model structure, its parameters as well as its activity during operation.

Implementation of Computer Vision algorithms on embedded platforms

Embedded systems are small low-power computing units designed for specific applications, often with real-time constraints. These systems can be found in cell-phones, portable video games, automobiles, home appliances, digital cameras where they perform specific tasks. The objective of this research is to participate to the development of the embedded software algorithms and tools that will facilitate the embedding of new software solutions to the Synopsys embedded vision system.