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Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS


Abstract: "Camera-based Deep Learning algorithms are increasingly needed for perception in Automated Driving systems. However, constraints from the automotive industry challenge the deployment of CNNs by imposing embedded systems with limited computational resources. In this paper, we propose an approach to embed a multi- task CNN network under such conditions on a commercial prototy... » read more

Synthetic Aperture And Plane Wave Ultrasound Imaging With Versal ACAP


Medical ultrasound is the most widely accepted and available form of diagnostic imaging today because of many significant advantages. It uses low-energy acoustic waves, and there are no known harmful side-effects on patients unlike potential ionizing radiation from X-rays or CT scans. Ultrasound can capture dynamic soft issue images, which X-rays cannot. Ultrasound systems are compact and trans... » read more

An Integrated Simulation Platform to Validate Autonomous Vehicle Safety


Autonomous driving systems rely upon sensors and embedded software for localization, perception, motion planning and execution. Autonomous driving systems can only be released to the public after developers have demonstrated their ability to achieve extremely high levels of safety. Today’s hands-off autonomous driving systems are largely built with deep learning algorithms that can be trained... » read more