New edge Ai-enabled radar sensor and automotive audio processors from TI

Radar sensor and automotive audio processors allow automakers to experiment with in-cabin experiences

Texas Instruments (TI) has launched its new integrated automotive chips for safer, more immersive driving experiences. The AWRL6844 60GHz mmWave radar sensor supports occupancy monitoring for seat belt reminder systems, child presence detection, and intrusion detection. This is all achieved with a chip running edge AI algorithms.

Affordable premium audio features are possible through TI’s next-generation audio DSP core, along with the AM275x-Q1 MCUs and AM62D-Q1 processors. Audio amplifier TAS6754-Q1 Class-D helps create a better audio system.

Amichai Ron, senior vice president at TI Embedded Processing, said: “Today’s drivers expect any car – entry-level to luxury, combustion to electric – to have enhanced in-cabin experiences. TI continues to provide innovative technologies to enable the future of the automotive driving experience.”

Ron added: “Our edge AI-enabled radar sensors allow automakers to make vehicles safer and more responsive to the driver, while our audio systems-on-chip elevate the drive through more immersive audio. Together they create a whole new level of in-cabin experiences.”

In addition to this, a three-in-one radar sensor from TI increases detection accuracy using edge AI. OEMs are increasingly using sensors to enhance the in-vehicle experience and continue to meet safety standards.

The AWRL6844 integrates four transmitters and four receivers and allows for high-resolution sensing data at an optimised cost for OEMs. Multiple sensor technologies can be replaced using this sensor, lowering average implementation cost by 20 USD per vehicle.

Data is fed into application-specific AI-driven algorithms on a customisable on-chip hardware accelerator and DSP. This improves both decision-making and accuracy. Occupant detection is improved whilst driving, with a localisation accuracy of 98%.

Micromovements can be detected with a 90% classification rate in a stationary car, helping detect unattended children in vehicles. It can also decrease false intrusion detection alerts caused by car shaking and external movement. 

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