The automotive industry is increasingly adopting new technologies to enhance vehicle functionality, with the ADAS sensor market alone predicted to grow to $40.8 billion in 2030, at an 11.7 percent CAGR between 2020 and 2030. Many of these radar, lidar, and camera sensors are based on the MIPI interface to leverage the economies of scale MIPI devices provide because of their use in billions of mobile devices over the years .
Key features of CrossLink-NX FPGAs for automotive applications include:
- Automotive certification and high reliability – AEC-Q100 qualification up to Grade 2 (T A = 105° C) and a Soft Error Rate (SER) up to 100 times lower than similar competing FPGAs make CrossLink-NX FPGAs a compelling choice for mission-critical applications that must operate safely and reliably in challenging environments.
- Low power operation – Built on the Lattice Nexus FPGA platform, which leverages an FD-SOI manufacturing process and FPGA architectural innovations to boost power efficiency, CrossLink-NX FPGAs deliver up to 75 % lower power consumption in comparison to similar competing FPGAs. This property provides thermal headroom for ADAS and IVI applications running at higher temperatures.
- Best-in-class performance – CrossLink-NX FPGAs deliver enhanced performance enabled by three key elements:
- Fast I/O support - CrossLink-NX FPGAs are well-suited for embedded vision applications thanks to support for multiple fast I/Os, including MIPI, PCIe (5 Gbps Gen 2), and DDR3 memory.
- Instant-on performance – to better support applications like automotive displays where a long system boot time is unacceptable, CrossLink-NX FPGAs enable ultra-fast I/O configuration in 3 ms and total device configuration in less than 15 ms.
- High memory-to-logic ratio – CrossLink-NX FPGAs efficiently process image data using 170 bits of memory per logic cell, the highest memory-to-logic ratio in its class.
To facilitate the design of FPGA-based systems, CrossLink-NX automotive FPGAs support the latest versions of the Lattice Radiant (version 2.2.1) and Lattice Propel (version 1.1) software tools to