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aiWare is a high-performance NPU designed to meet the rigorous demands of automotive AI inference, providing a scalable solution for ADAS and AD applications. This hardware IP core is engineered to handle a wide array of AI workloads, including the most advanced neural network structures like CNNs, LSTMs, and RNNs. By integrating cutting-edge efficiency and scalability, aiWare delivers industry-leading neural processing power tailored to automobile-grade specifications.\n\nThe NPU's architecture emphasizes hardware determinism and offers ISO 26262 ASIL-B certification, ensuring that aiWare meets stringent automotive safety standards. Its efficient design also supports up to 256 effective TOPS per core, and can scale to handle thousands of TOPS through multicore integration, minimizing power consumption effectively. The aiWare's system-level optimizations reduce reliance on external memory by leveraging local memory for data management, boosting performance efficiency across varied input data sizes and complexities.\n\naiWare’s development toolkit, aiWare Studio, is distinguished by its innovative ability to optimize neural network execution without the need for manual intervention by software engineers. This empowers ai engineers to focus on refining NNs for production, significantly accelerating iteration cycles. Coupled with aiMotive's aiDrive software suite, aiWare provides an integrated environment for creating highly efficient automotive AI applications, ensuring seamless integration and rapid deployment across multiple vehicle platforms.
aiSim 5 stands as a cutting-edge simulation tool specifically crafted for the automotive sector, with a strong focus on validating ADAS and autonomous driving solutions. It distinguishes itself with an AI-powered digital twin creation capability, offering a meticulously optimized sensor simulation environment that guarantees reproducibility and determinism. The adaptable architecture of aiSim allows seamless integration with existing industry toolchains, significantly minimizing the need for costly real-world testing.\n\nOne of the key features of aiSim is its capability to simulate various challenging weather conditions, enhancing testing accuracy across diverse environments. This includes scenarios like snowstorms, heavy fog, and rain, with sensors simulated based on physics, offering changes in conditions in real-time. Its certification with ISO 26262 ASIL-D attests to its automotive-grade quality and reliability, providing a new standard for testing high-fidelity sensor data in varied operational design domains.\n\nThe flexibility of aiSim is further highlighted through its comprehensive SDKs and APIs, which facilitate smooth integration into various systems under test. Additionally, users can leverage its extensive 3D asset library to establish detailed, realistic testing environments. AI-based rendering technologies underpin aiSim's data simulation, achieving both high efficiency and accuracy, thereby enabling rapid and effective validation of advanced driver assistance and autonomous driving systems.
aiData offers a sophisticated solution for transforming raw driving data into comprehensive annotated datasets essential for training ADAS and autonomous driving systems. This automated data pipeline revolutionizes the traditionally labor-intensive process by implementing automated collection, preparation, and annotation procedures. By reducing the need for manual intervention, aiData vastly accelerates the development of AD-related features, providing teams with high-quality datasets ready for validation and testing.\n\nCentral to aiData's utility is the Auto Annotator, capable of crafting precise 3D bounding boxes for dynamic and static entities like vehicles, pedestrians, and road signs. This tool achieves a remarkable precision and recall rate, greatly curtailing annotation costs and time compared to older, manual methods. The efficiency is further underscored by a significant cost reduction and quick return on investment after minimal use, making it an indispensable component of the data workflow.\n\nBeyond annotation, aiData includes a versioning system that ensures full traceability across data's lifecycle, equipped with AI-powered searches and scenario similarity evaluations to optimize model performance. Moreover, it features automated metrics for the evaluation of algorithms, enhancing software validation processes by leveraging industry-standard metrics and custom KPIs.
Discover how Socionext's partnership with aiMotive for aiWare NPU IP is set to transform next-gen automotive ADAS SoC solutions. Read more
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