NXP extends industry first 28 nm RFCMOS radar One-Chip Family

NXP has announced an extension of its automotive radar one-chip family. The new SAF86xx monolithically integrates a high-performance radar transceiver, a multi-core radar processor and a MACsec hardware engine for state-of-the-art secure data communication over Automotive Ethernet. Combined with NXP’s S32 high-performance processors, vehicle network connectivity and power management, the full system solution paves the way for advanced, software-defined radar.

The highly integrated radar SoC (System-on-Chip) is intended for streaming rich low-level radar sensor data at up to 1 Gbit/s. It helps carmakers optimize next-generation ADAS partitioning for software-defined vehicles, while providing for a smooth transition to new architectures. Additionally, OEMs will be able to easily introduce new software-defined radar features during the lifetime of the vehicle through Over-the-Air (OTA) updates.

It also shares a common architecture with the SAF85xx introduced last year and leverages 28 nm RFCMOS performance for significantly improved radar sensor capabilities, compared to prior-generation 40 nm or 45 nm products. It enables Tier-1 suppliers to build more compact and power-efficient radar sensors. Drivers and other road users will benefit from extended detection range beyond 300 m, along with more reliable detection of small objects like curb stones as well as vulnerable road users including cyclists and pedestrians.

The new radar one-chip supports NCAP safety functions including emergency braking and blind-spot detection. It also supports advanced ADAS and autonomous driving applications, including advanced comfort features for SAE levels 2+ and 3 such as traffic jam assist, highway pilot and park assist, front and rear cross-traffic alerts, as well as lateral and rear collision avoidance.

“Using our new SAF86xx radar one-chip family, OEMs can quickly and easily migrate their current radar platforms to new software-defined vehicle architectures,” said Steffen Spannagel, SVP and GM, ADAS, NXP Semiconductors. “A network of connected radar sensors with software-defined functions on a dedicated S32R radar processor in a distributed architecture can enhance radar-based perception to support advancements in autonomous driving. That includes 360-degree sensing, more powerful AI-based algorithms and secure OTA software updates.”

The comprehensive SAF8xxx family featuring the new SAF86xx and SAF85xx can be tailored for individual OEM use cases. It supports a range of sensor outputs, including object, point cloud-, or range-FFT-level data for smart sensors in today’s architectures and streaming sensors in future distributed architectures.

https://www.nxp.com/saf86xx

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TI debuts new automotive chips at CES, enabling automakers to create smarter, safer vehicles

Texas Instruments has introduced new semiconductors designed to improve automotive safety and intelligence. The AWR2544 77GHz millimeter-wave radar sensor chip is the industry’s first for satellite radar architectures, enabling higher levels of autonomy by improving sensor fusion and decision-making in ADAS. TI’s new software-programmable driver chips, the DRV3946-Q1 integrated contactor driver and DRV3901-Q1 integrated squib driver for pyro fuses, offer built-in diagnostics and support functional safety for battery management and powertrain systems. TI is demonstrating these new products at the 2024 Consumer Electronics Show (CES).

Many automakers are adding more sensors around the car to improve vehicle safety and autonomy. TI’s AWR2544 single-chip radar sensor is the industry’s first designed for satellite architectures. In satellite architectures, radar sensors output semi-processed data to a central processor for ADAS decision-making using sensor fusion algorithms, taking advantage of the 360-degree sensor coverage to achieve higher levels of vehicle safety.

The AWR2544 single-chip radar sensor is also the industry’s first with launch-on-package (LOP) technology. LOP technology helps reduce the size of the sensor by as much as 30% by mounting a 3D waveguide antenna on the opposite side of the printed circuit board. LOP technology also enables sensor ranges to extend beyond 200m with a single chip. In satellite architectures, these features enable automakers to increase ADAS intelligence for higher vehicle autonomy levels to make smarter decisions from farther away. The AWR2544 is the latest in TI’s radar sensor portfolio, which supports a wide range of ADAS applications and architectures with sensors developed for corner, front, imaging, side and rear radar systems.

Supporting the trend toward software-defined vehicles is challenging designers to develop smarter, more advanced battery management systems (BMS). Two new highly integrated, software-programmable driver chips from TI address requirements for safer and more efficient control of high-voltage disconnect circuits in a BMS or other powertrain system. Both drivers are International Organization for Standardization (ISO) 26262 functional safety-compliant and offer built-in diagnostics and protection to reduce automotive engineers’ development time.

For BMS and other powertrain systems, the DRV3946-Q1 is the industry’s first fully integrated contactor driver. It includes a peak-and-hold current controller that helps automakers increase system power efficiency. The device also implements safety diagnostics to monitor the condition of the contactor.

TI’s DRV3901-Q1 fully integrated squib driver enables an intelligent pyro fuse disconnect system by using built-in circuitry to monitor the pyro fuse and provide diagnostic information to the system microcontroller. This gives hybrid electric vehicle (HEV) and EV BMS designers flexibility to use a pyro fuse instead of traditional melting fuse systems while minimizing design complexity.

https://www.ti.com/

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Skyworks’ advanced AI noise suppression enables highest audio quality for new audio/video applications on the Edge

Skyworks Solutions is introducing its newest software solution for removing unwanted background noise from speech signals at CES 2024. The AI Noise Suppression solution delivers a new benchmark of performance for noise reduction, increasing speech intelligibility, preserving quality and reducing listener fatigue when using handsets, headsets, conference systems, automotive telematics, wireless microphones and audio-visual systems.

According to Astute Analytica, the edge AI market is predicted to grow from $1.4 million in 2021 to $8 million in 2027, with a large portion coming from the Internet of Things (IoT), wearable consumer devices and the need for faster computing in 5G networks.

While AI noise suppression has become common in desktop and cloud applications, performance lags on the edge. To address this challenge, the new software from Skyworks is highly scalable, from desktop CPU/GPU down to edge platform, with performance that rivals much larger CPU solutions.

“With the proliferation of AI noise suppression in desktop and cloud applications, it’s imperative the industry also overcomes performance lags on the edge to meet market demands,” said Yusuf Jamal, senior vice president and general manager of the Diversified Analog Solutions at Skyworks. “Skyworks is actively developing audio and other signal processing applications at the edge that will replace traditional signal processing techniques and drive new IoT edge applications. The AI Noise Suppression solution delivers benchmark performance, scalable from the edge to the cloud while requiring less memory and computational resources.”

The Skyworks AI Noise Suppression solution meets the needs of the market by:
Achieving subjective and objective test scores in embedded implementations that compete with desktop CPU/GPU solutions while requiring less than 10% CPU load on a HiFi4 core running at 600 MHz
The ability to run at 48 kHz, enabling advanced noise reduction on full bandwidth signals in audio/video production and playback
Not requiring connection to large cloud servers or tethering to desktop PCs or mobile phones
Not interfering with the original speech signal as confirmed by subjective testing based on ITU-T P.808
The solution allows for advanced noise reduction on full bandwidth signals, giving it the best audio quality on the market and opening additional applications in the areas of audio/video production and playback.

https://www.skyworksinc.com/

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Production reference design for advanced in-cabin sensing to enhance vehicle safety and comfort

Eyeris Technologie, OMNIVISION and Leopard Imaging, have announced their partnership on a production reference design to improve safety and comfort in the entire automobile cabin. This jointly developed reference design integrates Eyeris’ advanced monocular three-dimensional (3D) sensing AI software algorithm into Leopard Imaging’s 5-megapixel (MP) backside illuminated (BSI) global shutter (GS) camera, which uses OMNIVISION’s OX05B image sensor and OAX4600 image signal processor (ISP). The advanced depth-aware driver monitoring system (DMS) and occupant monitoring system (OMS) production reference design will be showcased during CES 2024 at Leopard Imaging’s booth #9529,

The new production reference design is the first in the automotive industry to address the need for depth-aware in-cabin sensing data. Eyeris’ monocular 3D sensing AI technology enables any 2D image sensor, including the latest RGB-IR sensors, to provide valuable depth-aware whole-cabin sensing including DMS and OMS data. In addition to using OMNIVISION’s OX05B 5MP RGB-IR image sensor, this advanced production reference design also uses OMNIVISION’s OAX4600 ISP to process Eyeris‘ monocular 3D sensing AI data. Together with Leopard Imaging’s camera design-house capabilities, this comprehensive production reference design enables auto manufacturers and tier-ones to achieve faster time-to-market with reduced costs and low integration risk.

“Our partnership with OMNIVISION and Leopard Imaging offers automotive customers the industry’s most advanced 3D software along with a hardware production reference design kit for in-cabin sensing,” said Modar Alaoui, founder and CEO of Eyeris. “It is a true turn-key solution that’s readily available, with a unique combination of AI-based depth-aware DMS and OMS data, processed on OMNIVISION’s RGB-IR image sensor and ISP platform.”

“We are excited to partner with Eyeris and Leopard Imaging on this combined solution, which integrates a unique set of capabilities developed specifically for monocular 3D in-cabin monitoring systems,” said Paul Wu, staff marketing manager at OMNIVISION. “OMNIVISION’s ISP processing technology and dedicated neural processing unit (NPU) ensure robust, latency-free image processing, and our OX05B sensor offers the best performance in extremely low light conditions.”

“We’re delighted to work with Eyeris and OMNIVISION on this advanced production reference design for in-cabin monocular 3D sensing AI,” said Cliff Cheng, senior vice president of marketing, Leopard Imaging. “Our camera design and manufacturing experience combined with our advanced imaging solutions are a testament to our commitment for pushing innovation boundaries for the future of automotive in-cabin sensing.”

https://www.eyeris.ai.

https://www.ovt.com.

https://www.leopardimaging.com.

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