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aiWare is a cutting-edge hardware solution dedicated to facilitating neural processing for automotive AI applications. As part of aiMotive’s advanced offerings, the aiWare NPU (Neural Processing Unit) provides a scalable AI inference platform optimized for cost-sensitive and multi-sensor automotive applications ranging from Level 2 to Level 4 driving automation. With its unique SDK focused on neural network optimization, aiWare offers up to 256 Effective TOPS per core, on par with leading industry efficiency benchmarks. The aiWare hardware IP integrates smoothly into automotive systems due to its ISO 26262 ASIL B certification, making it suitable for production environments requiring rigorous safety standards. Its innovative architecture utilizes both on-chip local memory and dense on-chip RAM for efficient data handling, significantly reducing external memory needs. This focus on minimizing off-chip traffic enhances the overall performance while adhering to stringent automotive requirements. Optimized for high-speed operation, aiWare can reach up to 1024 TOPS, providing flexibility across a wide range of AI workloads including CNNs, LSTMs, and RNNs. Designed for easy layout and software integration, aiWare supports essential activation and pooling functions natively, allowing maximum processing efficiency for neural networks without host CPU interference. This makes it an exemplary choice for automotive-grade AI, supporting various advanced driving capabilities and applications.
aiSim is a groundbreaking simulation platform, heralded as the world's first ISO26262 ASIL-D certified tool for autonomous driving validation. Designed to harness AI-based digital twin creation and optimized sensor simulation, aiSim provides a deterministic and reproducible environment for virtual testing. It reduces the necessity for expensive real-world testing by enabling highly realistic and adaptable simulation scenarios. aiSim's open architecture supports straightforward integration with existing toolchains, enhancing the development of automated driving systems through precision and reliability. By offering a comprehensive 3D assets library and mature content pipeline, aiSim supports a wide range of high-fidelity environments. This includes scenarios involving various weather conditions and road deteriorations, which are crucial for accurate ADAS development. The tool empowers developers to create diverse synthetic datasets through its advanced domain randomization, effectively simulating real-world variability. aiSim is engineered to meet stringent automotive standards, facilitating its integration into ASIL-D certified solutions, crucial for modern automotive safety norms. At its core, aiSim is powered by the proprietary aiSim AIR engine, which optimizes parallel processing and boosts resource usage efficiency, particularly for multi-sensor setups. The innovation continues with aiFab’s scenario randomization that facilitates the creation of unpredictable and challenging testing conditions. This capability ensures that aiSim remains at the cutting edge of automotive simulation technology, playing a critical role in the modernization and advancement of autonomous driving validations.
aiData represents the most advanced data pipeline for automated driving technology, meticulously designed to handle vast amounts of data essential for developing safe and efficient driving systems. This comprehensive platform offers automated data collection, annotation, and synthetic data generation, enabling unprecedented precision and control over data management processes. By integrating cutting-edge sensor simulation and domain randomization techniques, aiData creates outputs that are virtually indistinguishable from real-world data. The aiData Recorder emphasizes synchronized, smart data collection scaled across various sensor setups and vehicle models, making it highly adaptable and efficient. To aid developers in reducing costs and time, aiData Auto Annotator leverages AI for automatic annotation, effectively mining edge cases and performing active learning to deliver high-precision annotations for both static and dynamic objects. The system supports seamless scenario extraction from real-world to model-space, ensuring consistent annotations across all sensor modalities. The data pipeline also features integrated metrics evaluations that offer real-time insights into development progress, ensuring all collected data meets stringent quality benchmarks. With the aiData Versioning System, users can meticulously track data usefulness and monitor the impact of adding new datasets to fill existing gaps, presenting a transparent view of algorithm performance in varying conditions. aiData’s robust features make it an indispensable tool for developers, streamlining the data-driven development of next-generation ADAS technologies.
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