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. 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.
Together with the world’s best OEMs and Tier-1s, Hailo is working to introduce 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 processor, which has been developed in accordance with ISO26262 guidelines to be ASIL-B compliant.
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.
Automotive computational demands continue to rise as we pave the way for higher levels of autonomy. L3 autonomy and above involves complex multi-sensor systems that need to do more as the human driver is phased out of the loop. The multitude of vision, other emerging sensors and their fusion pose challenges and it is clear that neural processing requirements are even higher than in ADAS. The processing power the Hailo AI chip offers today is such that it can support real-time AI processing of multiple streams of high-resolution video, as well as different types of sensors. Its hardware architecture and software are scalable and can be optimized for different levels of neural workloads. Moreover, several chips can be combined to handle even larger workloads.
The incredible performance and scalability of the Hailo AI processor allow our partners, leading automotive OEMs and Tier 1s, to maximize commonalities between their near-term ADAS and long-term AV investments, while meeting strict space and thermal dissipation constraints.
In-cabin perception applications such as driver monitoring, occupant monitoring and child presence detection are becoming a safety requirement, targeted by the Euro NCAP roadmap.
One small, low-power Hailo AI processor chip can support multiple neural networks and sensor inputs, thereby accelerating an entire in-cabin monitoring system, all while maintaining industry-leading efficiency, high processing throughput and low latency for quick, life-saving response.