SOC Design Techniques that Enable Autonomous Vehicles
Robots – we have all been waiting for them since we were young. We watched Star Wars, or in the case of the slightly longer-lived of us, we watched Forbidden Planet or Lost in Space. We knew that our future robot friends would be able to move around and interact with their environment. What we did not foresee long ago was that instead of moving among us, we would be riding inside of the first widely produced robots – namely autonomous cars.
It’s pretty clear now to see that cars are the perfect platform for a machine that autonomously interacts with their environment. Typically, they traverse a smooth flat surface, have well defined interactions – starting, stopping, turning. They have the room, cooling and power for the substantial computing requirements necessary for their operation. Automating driving will also provide huge benefits to people. Instead of needing to be fully engaged in operating a vehicle – “drivers” will ultimately be able to focus on other activities while in their cars. In the near term autonomous vehicle will improve traffic safety.
To read the full article, click here
Related Blogs
- 4 Ways that Digital Techniques Can Speed Up Memory Design and Verification
- AI Based Software Designing AI Based Hardware - Autonomous Automotive SoC Platform
- Autonomous Vehicles: Memory Requirements & Deep Neural Net Limitations
- Autonomous Vehicles: Everything about self-driving cars explained
Latest Blogs
- A Repeatable Framework for Hardware Security Assurance
- Inside the SiFive Performance™ P570 Gen 3: High Performance Efficiency for Next-Generation Consumer and Commercial Applications
- What the steam engine can teach us about modern chip design
- Automotive silicon in the era of AI, functional safety, and cybersecurity
- JPEG XS Officially Joins GenICam, The Machine Vision Standard Managed By EMVA