Mobileye

We'll be in Barcelona for AutoSens Europe 2026.

Across three sessions, Mobileye experts will be sharing insights on tackling the long tail in autonomous driving, enhancing in-cabin sensing with exterior intelligence, and innovation in automotive imaging.

If you're attending, join us for:
📅 Wednesday, 23 September | 3:20 p.m. CEST
Avi Hendler
From Edge Cases to Scalable Intelligence: Driving Long-Tail Learning with VLMs

📅 Thursday, 24 September | 9:50 a.m. CEST
Elad Osherov
Panel Discussion - Beyond Compliance: The Next Generation of Driver & Occupant Monitoring

📅 Thursday, 24 September | 11:25 a.m. CEST
Gabriel Bowers
Motion-Aware Characterization of Automotive HDR Cameras: Quantifying the Trade-Off Between Flicker Mitigation and Dynamic Resolution

Check out more info here: https://okt.to/1P7uc8

Germany continues to set itself as one of the leading global markets in autonomous mobility, and Mobileye Drive™ is helping lead the way.

Official KBA data shows that more than 60% of Germany’s valid SAE Level 4 testing permits include Mobileye Drive™, our fully autonomous solution for Mobility as a Service.

As autonomous transportation moves closer to commercial deployment, we’re proud to push for a future of safer, scalable driverless mobility.

Read more here: https://okt.to/LHaqSl

The hardest part of scaling autonomous driving is not just collecting more data. It is learning from the rare, safety-critical scenarios that are easy to miss inside massive datasets.

At CVPR, Mobileye CTO Prof. Shai Shalev-Shwartz introduced Meteor, Mobileye’s approach to long-tail learning: using AI agents and vision-language models to discover difficult scenarios, identify reproducible failure patterns, and generate targeted variations for training and validation.

Watch the presentation to see how Mobileye is tackling one of autonomy’s biggest challenges: turning edge cases into scalable intelligence: https://okt.to/CxuQFH

Mobileye’s next chapter in Physical AI is about turning advanced intelligence into robust, useful and economically viable systems in the real world. Humanoid robotics brings that challenge into a new domain.

In an exclusive interview with IZON media, Lior Wolf, EVP of Humanoids at Mobileye, explains why Mentee by Mobileye bet on simulation from day one, why it develops hardware and software together to help learned skills transfer reliably into the real world, and what it will take to build a truly general-purpose robot.

He also discusses how Mentee’s startup speed and vertically integrated approach can combine with Mobileye’s experience in productization, supply chain and commercial scale.

Read the full interview here:
https://okt.to/nmdqWp

Frost & Sullivan evaluated ADAS providers across four requirements: scalable architecture, cost discipline, safety credibility, and real-world validation. Their analysis highlights how Mobileye delivers across all four, through a shared technology backbone spanning multiple levels of ADAS.

Read the full report here: https://okt.to/uAHpLJ

Drivers are no longer evaluating ADAS only by whether a feature exists. They are judging how it feels.

At the same time, automotive architecture is transforming rapidly. Vehicles are becoming more centralized, with greater compute capacity and more room for software-defined feature growth.

Read more about how hands-free driving is going mainstream: https://okt.to/qRYZDK