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Live+8 todayUpdated 46m ago

Hesai Joins NVIDIA Halos Lab to Advance Autonomous Vehicle Safety

Lidar maker Hesai Technology has joined NVIDIA's Halos AI Systems Inspection Lab to evaluate and validate its sensors for safety, cybersecurity, and AI compliance in autonomous vehicles and robotics.

Lidar units delivered

2 million

What Happened

Hesai Technology, a global leader in automotive lidar, announced it has joined the NVIDIA Halos AI Systems Inspection Lab, the first ANAB-accredited inspection lab for AI-driven physical systems. As a member, Hesai will evaluate and validate its lidar platforms within a unified framework for functional safety, cybersecurity, and AI compliance.

Autonomous systems will only achieve broad adoption if they meet the highest standards of safety and reliability. Lidar is often the primary sensor responsible for detecting hazards in the most critical situations on the road. Joining the NVIDIA Halos ecosystem allows us to further strengthen the safety architecture required to bring trusted autonomous technology into everyday use.
David Li, Co-Founder and CEO of Hesai Technology
Total lidar units delivered

2 millionunits

Hesai has cumulatively delivered more than 2 million lidar units globally, supporting advanced driver assistance systems, autonomous vehicles, and robotics.

Hesai introduced the world's first lidar to obtain ISO 26262 ASIL B Functional Safety Product Certification and holds the largest portfolio of ISO 26262 certified lidar products. The company's engineering approach integrates its 'Safety Triad' of functional safety, SOTIF, and cybersecurity across all lidar system designs.

Why this matters

As autonomous vehicles become more common, ensuring their sensors meet rigorous safety standards is crucial. Hesai's collaboration with NVIDIA helps create a unified safety framework to build trust in self-driving technology.

Terms in This Story

LiDAR
Light Detection and Ranging, a remote sensing technology that uses laser pulses to measure distances and create detailed 3D maps of the environment.
ASIL
Automotive Safety Integrity Level, a risk classification system defined by ISO 26262 for functional safety of road vehicles.
SOTIF
Safety of the Intended Functionality, a standard (ISO 21448) for ensuring that autonomous systems operate safely even when facing unexpected situations.
Read Original: Hesai Technology

Summarised from the linked release; details can be imperfect — always verify against the original source.