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The aiWare NPU (Neural Processing Unit) by aiMotive is a high-performance hardware solution tailored specifically for automotive AI applications. It is engineered to accelerate inference tasks for autonomous driving systems, ensuring excellent performance across a variety of neural network workloads. aiWare delivers significant flexibility and efficiency, capable of scaling from basic Level 2 applications to complex multi-sensor Level 3+ systems. Achieving up to 98% efficiency, aiWare's design focuses on minimizing power utilization while maximizing core performance. It supports a broad spectrum of neural network architectures, including convolutional neural networks, transformers, and recurrent networks, making it suitable for diverse AI tasks in the automotive sphere. The NPU's architecture allows for minimal external memory access, thanks to its highly efficient dataflow design that capitalizes on on-chip memory caching. With a robust toolkit known as aiWare Studio, engineers can efficiently optimize neural networks without in-depth knowledge of low-level programming, streamlining development and integration efforts. The aiWare hardware is also compatible with V2X communication and advanced driver assistance systems, adapting to various operational needs with great dexterity. Its comprehensive support for automotive safety standards further cements its reputation as a reliable choice for integrating artificial intelligence into next-generation vehicles.
aiSim 5 is a state-of-the-art automotive simulation platform designed for ADAS and autonomous driving testing. Recognized as the world's first ISO26262 ASIL-D certified simulator, it offers unparalleled accuracy and determinism in simulating various driving scenarios and environmental conditions. The simulator integrates AI-based digital twin technology and an advanced rendering engine to create realistic traffic scenarios, helping engineers verify and validate driver assistance systems. Harnessing powerful physics-based simulation capabilities, aiSim 5 replicates real-world phenomena like weather effects and complex traffic dynamics with precision. By offering a comprehensive set of 3D assets and scenarios, it allows for the extensive testing of systems in both typical and edge conditions. With its flexible and open architecture, aiSim 5 can seamlessly integrate into existing testing toolchains, supporting significant variations in sensor configurations and driving algorithms. The platform encourages innovation in simulation methodologies by providing tools for scenario randomization and synthetic data generation, crucial for developing resilient ADAS applications. Additionally, its cloud-ready architecture makes it applicable across various hardware platforms, turning simulation into a versatile resource available on inexpensive or high-end computing configurations alike.
aiData is designed to streamline the data pipeline for developing models for Advanced Driver-Assistance Systems and Automated Driving solutions. This automated system provides a comprehensive method of managing and processing data, from collection through curation, annotation, and validation. It significantly reduces the time required for data processing by automating many labor-intensive tasks, enabling teams to focus more on development rather than data preparation. The aiData platform includes sophisticated tools for recording, managing, and annotating data, ensuring accuracy and traceability through all stages of the MLOps workflow. It supports the creation of high-quality training datasets, essential for developing reliable and effective AI models. The platform's capabilities extend beyond basic data processing by offering advanced features such as versioning and metrics analysis, allowing users to track data changes over time and evaluate dataset quality before training. The aiData Recorder feature ensures high-quality data collection tailored to diverse sensor configurations, while the Auto Annotator quickly processes data for a variety of objects using AI algorithms, delivering superior precision levels. These features are complemented by aiData Metrics, which provide valuable insights into dataset completeness and adequacy in covering expected operational domains. With seamless on-premise or cloud deployment options, aiData empowers global automotive teams to collaborate efficiently, offering all necessary tools for a complete data management lifecycle. Its integration versatility supports a wide array of applications, helping improve the speed and effectiveness of deploying ADAS models.
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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