Uploaded on Jul 18, 2022
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.
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.
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