Automated parking. Automatic emergency braking. Adaptive cruise control. Driver assistance features once reserved for luxury vehicles are expanding to more mainstream vehicles to bring next-level autonomy and advanced driver assistance systems (ADAS) to your daily driver.
As new models grow smarter – learning, connecting, communicating, monitoring, making decisions, entertaining and, of course, helping you drive – vehicle complexity and the computing power required to process the enormous amounts of data that make these advanced features possible has skyrocketed.
“The road to better ADAS, and eventually autonomy, has turned cars into innovation hubs and put them at the forefront of technological advances,” said Curt Moore, who leads our TI Jacinto processors business.
To fuel the next generation of autonomy, our company announced the new low-power, high-performance Jacinto™ 7 processor platform that will allow automobile designers and manufacturers to create better ADAS technology and automotive gateway systems that act as communication hubs. The first two devices in the Jacinto 7 processor platform aim to improve awareness of the car’s surroundings and accelerate the data sharing in the software-defined car – all enabled by a single software platform that developers can use to scale their software investment across multiple vehicle designs.
“We harnessed more than two decades of automotive and functional safety expertise to develop processors with enhanced deep learning capabilities and advanced networking to solve design challenges in ADAS and automotive gateway applications,” Curt said. “These innovations will provide a flexible platform to support the needs of a manufacturer’s vehicle lineup, from high-end luxury cars to the rest of their fleet.”
Accelerating the data highway
Three trends are influencing the evolution of modern vehicles:
Each of these trends requires enormous amounts of data that need to be processed and communicated in real time, securely and safely. Improving ADAS and vehicle automation requires a combination of cameras, radar and possibly LIDAR technology within systems to quickly adapt to the world around them. Communicating data inside and outside the vehicle requires a substantial increase in data processing. Managing and connecting the influx of data inside and outside the car is also critical to enable vehicle electrification.
And features that are growing in popularity – such as car-sharing, fleet management and tracking, car dealers monitoring vehicle health remotely to schedule preventive maintenance, and data collection for improving ADAS – all require a connection to the internet and the cloud. Over-the-air updates will enable users to do everything from updating critical software fixes to refreshing entertainment content on the go.
“The influx of information coming into the car underscores the need for processors or systems-on-chip to quickly and efficiently manage multilevel processing in real time, all while operating within the system’s power budget,” Curt said.
For more information, learn how we’re making ADAS technology more accessible in vehicles
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