Analog Devices and Seeing Machines Collaborating on ADAS Solutions
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Analog Devices and Seeing Machines Collaborating on ADAS Solutions

　　Analog Devices Inc. and Seeing Machines are collaborating to support high-performance driver and occupant monitoring system (DMS/OMS) technology.　　Long-haul driving and congested traffic are two scenarios where driver fatigue and distraction often occur and frequently cause accidents, resulting in injury or worse. New and sophisticated advanced driver assistance systems (ADAS) are rapidly evolving to support safety across increasing, varied levels of autonomous capability.　　The collaboration pairs ADI’s advanced infrared driver and high-speed Gigabit Multimedia Serial Link (GMSL) camera connectivity solutions with Seeing Machines’ artificial intelligence (AI) DMS and OMS software to support powerful eye gaze, eyelid, head, and body-pose tracking system technology that more accurately monitors driver fatigue and distraction. The combined solution will readily meet European Commission General Safety Regulations (GSR) and European New Car Assessment Program (Euro NCAP) requirements. It is also conducive to enabling future occupant monitoring features and a range of in-cabin camera placement options, previously unworkable due to challenges related to power efficiency, functional safety, hardware footprint, and image quality.　　Semi-autonomous driving systems rely on in-cabin DMS and OMS to recognize and address driver fatigue and distraction. These systems must operate in all lighting conditions and require proper infrared lighting to ensure image quality on a frame-by-frame basis necessary for eye tracking in real time. The combined solution from ADI and Seeing Machines leverages ADI’s industry-first infrared driver for DMS and OMS, capable of delivering up to 100W of peak power in a compact and functionally safe solution. This allows for a non-intrusive, smaller camera module in a vehicle’s cabin.　　Seeing Machines’ AI software interprets signals from the optical hardware, monitors and diagnoses the problem, and combines with ADAS features to enable output signals to warn drivers and vehicle occupants when necessary.　　“Seeing Machines exists to get people home safely, and our work with ADI aims to support semi-autonomous driving with increased safety levels to deliver what we call ‘supervised automation’,” said Nick DiFiore, SVP and GM of Automotive at Seeing Machines. “ADI’s proven automotive-grade, near-infrared drivers and GMSL devices enable a sophisticated optical path to provide critical illumination and high-speed video bandwidth for real-world and real-time processing of interior cabin environments.”　　“Cabin monitoring is complex and requires careful integration of infrared illumination, image capture, data processing, and algorithm layers to achieve a real-time response,” said Yin Wu, Director of Automotive Product Line Management at Analog Devices. “Together with Seeing Machines, we are supporting the automotive industry with pragmatic solutions to help reduce collisions and save lives.”
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Release time：2023-01-06 10:55 reading：2138 Continue reading>>
Renesas and HELLA Aglaia offer scalable <span style='color:red'>ADAS solution</span>
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Renesas and HELLA Aglaia offer scalable ADAS solution

　　Renesas Electronics and HELLA Aglaia, a specialist in intelligent visual sensor systems, have announced their open and scalable front camera solution for advanced driver assistance systems (ADAS) and automated driving.　　The front camera system combines the R-Car V3M, Renesas' high-performance, low-power image recognition system-on-chip (SoC) for New Car Assessment Program (NCAP), and HELLA Aglaia?s camera software designed to meet level 2 (partial automation) and level 3 (conditional automation) of the SAE International’s new J3016 standard.　　The solution, which has been designed for scalability, enables system designers to build a wide range of front cameras from cameras supporting NCAP to cameras supporting requirements for up to level 3 applications.　　This collaboration is intended to open up the market for front cameras as sensor vision is projected to become a major requirement for NCAP over the next several years, driven by the rapid adoption of NCAP safety features such as automated emergency braking, lane departure warning, and traffic sign recognition.　　OEMs & Tier 1s are seeking open-but-proven solutions with the right performance and cost efficiency balance to provide them the freedom to implement a front camera with their own differentiators.　　The Renesas R-Car V3M SoC implements a computer vision platform using different accelerators, including a versatile pipeline engine (IMP) and a computer vision engine (CVE), allowing the R-Car V3M to run convolutional neural networks for the classification of objects and to manage algorithms like optical flow and object detection.　　The R-Car V3M also features an integrated ISP and a single DDR3L memory channel offering potential for further cost reductions. The R-Car V3M is part of the Renesas autonomy Platform: Renesas’ ground-breaking platform for ADAS and automated driving that delivers total end-to-end solutions scaling from cloud to sensing and vehicle control.　　HELLA Aglaia’s software solutions will shorten the development time, efforts, and risk for the next wave of front camera customers. As an experienced Tier 2 supplier of field-proven camera software for level 2 and level 3, HELLA Aglaia delivers software that is flexible and portable and that can be combined with Tier 1 or OEM software IP, allowing customers to focus on creating their USPs. The software is scalable and covers from low-cost NCAP applications up to level 3-based front camera applications.
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Release time：2017-12-07 00:00 reading：2152 Continue reading>>

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