Advanced Driver Assistance Systems


SkyHighTech

Uploaded on Jul 18, 2022

Category Technology

The desire to pave the way for higher levels of autonomy inherently requires faster, more accurate sensors and the ability to process the delivered data in real time. Applications such as VRU (Vulnerable Road Users) protection, lane support, rear and side collision avoidance, AES (Automatic Emergency Steering) and automated parking demand processing multiple video feeds and even a 360-degree view of the vehicle. ​

Category Technology

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Advanced Driver Assistance Systems

Advanced Driver Assistance Systems The pursuit for “vision zero” is set by the EuroNCAP, the European association for car safety, as the next high-level goal for 2025. Intelligent perception technologies take the driver seat in this journey towards automotive AI From vulnerable road user (VRU) protection capabilities to in-cabin driver monitoring – a compute-intense machine is needed while meeting thermal dissipation, mass production quality, area and price constraints. Know More- Advanced Driver Assistance Systems Hailo is working with OEMs and Tier-1s who are at the forefront of AI automotive technology, to introduce state-of-the-art leading deep learning performance into various assisted and autonomous driving systems, while meeting evolving safety standards and regulations. The Hailo AI processor is an AEC-Q100 grade 2 Automotive AI accelerator, which has been developed in accordance with ISO26262 guidelines to meet ASIL-B conformance. More and more vehicles today are equipped with Advanced Driver Assistance Systems. Evolving standards and regulations (like Euro NCAP’s Vision Zero and the focus on VRU protection) increasingly demand the inclusion of vision-based systems such as AES (Automatic Emergency Steering), lane support (or active lane-keeping assistance) and rear and side collision avoidance. Currently largely reliant on purpose-built intelligent cameras, ADAS systems require powerful processing but within a limited power budget and space and thus are constrained by traditional processors (i.e CPUs and GPUs). The Hailo AI processor is built for efficient, high-throughput and low-power AI processing in automotive-qualified systems. Within its small power budget, it can run multiple neural networks simultaneously on one or several high-resolution video inputs in real time with low latency, making it ideal to support the most advanced ADAS applications. ADAS requirements and technologies evolve rapidly as we progress toward fully autonomous driving. Where it is possible, OEMs and Tier 1s are looking to make smart investments in automotive AI technology that will scale to support the growth of their offering. Hailo offers an ADAS processor with industry-leading performance and scalable Structure-Defined Dataflow architecture that allow our partners to future-proof their AI automotive investment today.