Is full highway autopilot finally within reach? Our latest podcast episode goes behind the scenes with industry experts. We discuss: sensor performance for all-weather reliability, the role of imaging radar in long-range detection and prediction, and the business model, like

Every radar system needs a brain, something that can process massive amounts of data in real-time and make sense of it all. As Chip Design Team Lead at Arbe, Yuval Dagan designs and implements the RPU that executes Arbe’s unique algorithms, which keeps us ahead of the

This concern seems logical - modern vehicles carry multiple radar sensors, and with more radar-equipped cars on the road, interference should be inevitable. The fear is that radars will jam each other, creating unreliable measurements and dangerous blind spots. Interference in

Level 3 autonomy is here, but with a catch: most systems are limited to 60 km/h. Why can't they handle highway speeds? The problem is that most sensors can't see far enough ahead to make safe decisions at high speed. Arbe's high-resolution radar changes that, offering the 300+

As Radar Application Framework Team Lead at Arbe, Idan Mishor is leading the development of RAF, the software framework that makes our cutting-edge 4D MIMO imaging radar controllable in real time. Read more about Idan’s challenges and achievements here > https://t.co/OZyl085rOO

For years, radar was a supporting actor in automotive safety. Now a new generation of radar is using 2,304 channels, delivering a superior view and a safe, hands-free driving experience in all weather conditions. Is radar finally ready to take the lead?

Are NHTSA and NCAP regulations creating a sensor arms race? What does it take to get a 5-star rating today? And how do new nighttime and bad-weather tests separate the best from the rest? All this in more in today’s episode at Arbe's podcast. Tune in > https://t.co/WMjCSCsMxs

We’ll be at the 14th Annual ROTH Technology Conference this week. Our CFO, Karine Pinto Flomenboim, will be available for one-on-one meetings to discuss Arbe’s Perception Radar solutions are shaping the future of automotive safety and autonomy. Contact: investors@arberobotics.com

Meet us at the DVN Sensing & Applications Conference in Frankfurt @kobimr will join industry experts to discuss “Vision and Radar Systems for L2+, L3 Applications”, focusing on how next-gen HD radar enables safer and more reliable advanced driving systems https://t.co/y5bWnEWbhI

Join us at AutoSens China 2025! Don’t miss our joint session with GlobalFoundries- “Enabling Next-Generation Automotive Radar: Semiconductor Innovation and System Integration” - presented by Ofer Raz, Regional Field Application Manager at Arbe. November 18–20, 2025, Hefei, China

Harnessing the power of NVIDIA GPUs, this simulation allows Marom to model, test, and refine complex radar behavior with unmatched realism. When scenarios are too costly or dangerous to recreate, he finds the solution in code. How does he do it? Read on:

While engineers test radar in the real world, Senior Researcher Marom Dadon is building its perfect digital twin. His challenge? Creating a virtual radar so real, it can predict performance and solve critical edge cases before the hardware is built. https://t.co/2o4mgl13xK

radar's range and motion detection paired with camera's color and classification - paint a complete environmental picture. When high-fidelity radar fuses with camera input, you get the comprehensive perception, redundancy, and reliability you need for L3 autonomy.

cameras cannot match. The magic happens in the shared dimensions. Both sensors provide detailed azimuth and elevation data, creating reliable cross-validation and reducing false positives. Meanwhile, their complementing capabilities >>

Cameras excel at azimuth, elevation, and color information, which is perfect for object classification and visual confirmation. High-channel-count radar provides detailed azimuth, elevation, range, and motion data, delivering precise positioning and velocity measurements that >>

Many assume L3 autonomy requires complex sensor suites with multiple technologies. But the most powerful combinations aren't always the most complicated - they're the most complementary. Camera and high-resolution radar create an ideal fusion partnership. >>

can ever scale to mass market vehicles. The math is brutal: million-dollar sensor suites need to eventually converge with affordable private car technology. Get the full podcast here:

Even if cameras could solve 99% of autonomous driving challenges, the remaining 1% represents thousands of lives lost in accidents. Our second podcast episode digs into why robotaxi companies load so many sensors while the industry debates how that level of safety >>

A huge thank you to @AutoTechAwards for this recognition, and congratulations to the entire Arbe team!

creating the missing foundational layer for L3+ autonomy. As AutoTech Breakthrough put it: “Arbe's Perception Radar is revolutionizing automotive sensing, setting new industry standards and paving the way for safer, more reliable autonomous driving.”