Fueled by semiconductor advances and a spread in software ecosystems, autonomous technology innovation continues to accelerate. Increasingly, system validation is deployed in edge environments outside of data centers and cloud. Edge is deployed with semiconductor and systems enhancements, the intensity of massive data generation and consumption, and the need for software to operate in real time. One important use case includes AI-enabled computer vision and sensor fusion to enable perception system training and validation for autonomous and safety critical systems. You can think of autonomous systems as capabilities that are AI enabled for perception, prediction, planning, and control. Examples include:

• Autonomous Vehicles
• Robotic Process Automation
• Virtual Agents

Today’s Advanced Driver Assistance Systems and Autonomous Driving (ADAS/AD) vehicles lead the advancements in autonomous system innovation.

A key emerging requirement for all autonomous systems development, and now a requirement for ADAS/AD, is high-fidelity environmental simulation. Environmental simulation creates a virtual world in which the system under test operates for testing and development. High-fidelity physics-based environment simulation is an essential component of development for any autonomous system.

Dell Technologies is performing research innovation in this emerging area with key ecosystem partners like monoDrive and others.