Ambarella Inc Partners With Applied Intuition to Offer Scalable HIL Testing for CV3-AD Domain Controller SoCs
January 02, 2023 at 03:30 pm IST
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Ambarella, Inc. and Applied Intuition at CES 2023 announced a partnership to offer a joint ADAS and AV development solution based on Ambarella's CV3-AD PCIe hardware-in-the-loop (HIL) card and Applied's simulation software.
Testing with real electronic control units (ECUs) is often costly and time-consuming, requiring special HIL rigs and a dedicated lab. This delays software testing and slows down development cycles. Ambarella and Applied's joint solution enables customers to run Applied-powered simulations directly on a CV3-AD system-on-chip (SoC) without waiting for an ECU to become available. Customers can simply install the CV3-AD PCIe card directly into their development desktop or server infrastructure and conduct HIL testing without an ECU. This makes HIL testing faster, less expensive and far more scalable than previously possible. With 17 of the top 20 global automotive OEMs relying on Applied's solutions to develop, test and deploy autonomous systems at scale, the company has vast experience in the ADAS and AV industry, as well as other domains such as trucking, construction and agriculture. Beyond simulation, Applied's robust suite of software solutions includes products such as Applied Test Suites and Synthetic Datasets, which customers can use with the CV3-AD.
Ambarella, Inc. is a developer of low-power system-on-a-chip (SoC) semiconductors that provide artificial intelligence processing, image signal processing and video compression. The Company serves human-viewing applications with video and image processors for enterprise, public infrastructure and home applications, such as Internet protocol, security cameras, sports cameras, wearables, aerial drones, and aftermarket automotive video recorders. It is focused on creating AI technology that enables edge devices to visually perceive the environment and make decisions based on the data collected from cameras and, other types of sensors. Its CVflow-architecture supports a range of computer vision algorithms, including object detection, classification and tracking, semantic and instance segmentation, image processing, stereo object detection, terrain mapping, and face recognition. Its CVflow processes other sensor modalities, including lidar, radar, time of flight, thermal and near-infrared.