Safer SoCs for safer driving
Flip on the TV, and a car commercial is bound to pop up shortly touting one of two technological aspects. One is center stack integration of smartphone-style applications. The other is advanced driver assistance systems (ADAS) featuring cameras, radar, and other sensors helping cars do things like stay in lanes, recognize road signs, jostle drowsy drivers, see in blind spots, and brake to avert collisions when necessary.
Historically, many semiconductor firms shied away from automotive applications, with onerous environmental requirements and high stakes liability concerns. The allure of increasing content, especially higher-value functions such as ADAS, the “connected car,” and vehicle-to-vehicle (V2V) integration, is drawing participants back in.
To read the full article, click here
Related Semiconductor IP
- RVA23, Multi-cluster, Hypervisor and Android
- 64 bit RISC-V Multicore Processor with 2048-bit VLEN and AMM
- NPU IP Core for Mobile
- V-by-One® HS plus Tx/Rx IP
- MSP7-32 MACsec IP core for FPGA or ASIC
Related Blogs
- Imagination and Humanising Autonomy Part 1: The path to safer roads
- How Imagination is steering the automotive industry to a safer future
- How Rambus is Making Data Faster and Safer in 2022 and Beyond
- The Importance of Memory Architecture for AI SoCs
Latest Blogs
- The Coming NPU Population Collapse
- Driving the Future of High-Speed Computing with PCIe 7.0 Innovation
- Khronos Announces Vulkan Video Decode VP9 Extension
- One Instruction Stream, Infinite Possibilities: The Cervell™ Approach to Reinventing the NPU
- Upgrade the Raspberry Pi for AI with a Neuromorphic Processor