Achieving Greater Safety for Tomorrow's Autonomous Vehicles
With the evolution of autonomous vehicles, today’s cars are becoming both more connected and complex. Consumers and suppliers worldwide are demanding much more intelligence and customization, which adds pressure on product development teams to validate the underlying technology and start their design processes months earlier. Enhancements in hardware and software features also mean that the way designers think about automotive safety and security at the system-on-chip (SoC) level must evolve.
While fully autonomous vehicles are still a ways off, there’s a good chance that your car already has driver assistance features such as adaptive cruise control, lane guidance, or active braking. However, as the number of sensors being integrated in automotive systems increases to enable new capabilities, building security and quality into all stages of the design’s lifecycle becomes integral.
The requirements for automotive design are changing, from the silicon all the way to the fully assembled vehicle. Going forward, security and safety are inseparable considerations for automotive SoCs.
To read the full article, click here
Related Semiconductor IP
- nQrux Secure Boot
- 4K/8K Multiformat IP supporting AV2 decoder
- Ultra Ethernet MAC & PCS 100G/200G/400G/800G
- Ethernet PCS 100G/200G/400G/800G/1.6T
- Ethernet MAC 100G/200G/400G/800G/1.6T
Related Blogs
- SOC Design Techniques that Enable Autonomous Vehicles
- Autonomous Vehicles: Memory Requirements & Deep Neural Net Limitations
- Autonomous Vehicles: Everything about self-driving cars explained
- Enabling next generation vehicles with ARM Artisan Physical IP
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