Infineon Technologies together with Reality AI have developed an advanced sensing solution giving vehicles the sense of hearing.
This solution adds XENSIV MEMS microphones to existing sensor systems. It enables cars to “see” around the corner and to warn about moving objects hidden in the blind spot or approaching emergency vehicles that are still too distant to see.
The new sensing solution, that will be showcased at Infineon’s Virtual Sensor Experience, is based on XENSIV MEMS microphones in combination with AURIX microcontrollers (MCU) and Reality AI’s Automotive See-With-Sound (SWS) system.
Using machine learning-based algorithms, the system can detect emergency vehicles, cars and other road participants – even if they cannot be seen by drivers or detected by the sensors incorporated in the vehicles’ ADAS. Machine learning also ensures that the country-specific sirens of emergency vehicles are recognized in all parts of the world.
The automotive-qualified XENSIV MEMS microphone IM67D130A has an increased operating temperature range from -40 °C to +105 °C allowing various use cases in harsh automotive environments. The low distortions (THD) and the high acoustic overload point (AOP) of 130 dB SPL enable the microphone to capture distortion-free audio signals in loud environments.
This permits a reliable classification, even if the siren sound is hidden in the high background or wind noise. This sound-based sensing technology can also enable other applications in vehicles such as road condition monitoring, damage detection or even predictive maintenance.
For processing the audio signal, the Reality AI software makes use of Infineon’s AURIX TC3x family of MCUs which is widely used across multiple automotive applications.
The scalable MCU family offers a range from one to six cores and up to 16 MB of Flash with functional safety up to ASIL-D according to the ISO26262 2018 standard and EVITA full cybersecurity. AURIX TC3x gives customers the performance and flexibility to implement XENSIV MEMS microphones in ADAS use-cases.