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aiWare represents a specialized hardware IP core designed for optimizing neural network performance in automotive AI applications. This neural processing unit (NPU) delivers exceptional efficiency for a spectrum of AI workloads, crucial for powering automated driving systems. Its design is focused on scalability and versatility, supporting applications ranging from L2 regulatory tasks to complex multi-sensor L3+ systems, ensuring flexibility to accommodate evolving technological needs. The aiWare hardware is integrated with advanced features like industry-leading data bandwidth management and deterministic processing, ensuring high efficiency across diverse workloads. This makes it a reliable choice for automotive sectors striving for ASIL-B certification in safety-critical environments. aiWare's architecture utilizes patented dataflows to maximize performance while minimizing power consumption, critical in automotive scenarios where resource efficiency is paramount. Additionally, aiWare is supported by an innovative SDK that simplifies the development process through offline performance estimation and extensive integration tools. These capabilities reduce the dependency on low-level programming for neural network execution, streamlining development cycles and enhancing the adaptability of AI applications in automotive domains.
aiSim 5 stands out as the first ISO26262 ASIL-D certified simulator tool designed for validating ADAS (Advanced Driver-Assistance Systems) and AD (Automated Driving) technologies. This simulator offers an unparalleled environment for testing automated driving systems, utilizing a highly optimized sensor simulation framework which ensures robust performance in runtime. Its advanced rendering engine produces realistic and deterministic environments, bypassing limitations typically found in game engine simulators. This tool is pivotal for car manufacturers as it enhances the reliability and safety of automated driving solutions. aiSim 5 boasts a flexible architecture that integrates smoothly with existing toolchains, encouraging a reduction in costly real-road testing. It focuses significantly on multi-sensor simulation, supporting diverse weather conditions and complex driving scenarios, which are essential for developing adaptive driving systems. This simulation environment allows for high mileage tests, vital for understanding and improving the effectiveness of driving systems in various settings. Additionally, aiSim 5 supports the creation of digital twin 3D environments that replicate real-world locations accurately. This enables a high-fidelity simulation of operational design domains, from highways to urban settings. aiSim's capability to simulate adverse scenarios such as snowstorms or heavy rain showcases its comprehensive approach to ensuring that AD systems are tested under every possible real-world condition.
aiData serves as a robust data pipeline that optimizes the development process for autonomous driving technologies by facilitating the management and processing of extensive data volumes from real-world driving scenarios. This pipeline covers various stages such as data collection, preparation, and annotation, ensuring high-quality outputs essential for training and validating AI models used in ADAS and AD systems. The emphasis on automation significantly curtails the resource-intensive manual operations traditionally involved in these processes. A key feature of aiData is its versioning system that provides comprehensive oversight over data flow, allowing developers to track and curate datasets with precision. This feature is instrumental in enabling cross-referencing through metadata, ensuring data relevance and accuracy crucial for effective autonomous driving solutions. The aiData platform is designed for seamless integration, either on-premise for enhanced security or in the cloud for ease of collaboration among global teams. This flexibility allows automotive companies to streamline their workflows and accelerate the deployment timeline of their autonomous systems, ensuring data consistency and quality control across all developmental stages.
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