Arbe

Radar revolution. Delivered.
#ImagingRadar #ADAS #AutonomousDriving #AutonomousVehicles #perception
$ITAC

[Arbe @Arbe_Robotics]

What does an autonomous vehicle need to see on a busy city street versus at highway speeds?

Join us at Autonomous Vehicles and AI Europe 2026 in Frankfurt, Germany, on November 16–17. Matan Nurick, Arbe’s Director of Product Management, will discuss how HD 4D imaging radar supports perception across both driving environments.

🚘 Empowering Autonomy With HD 4D Imaging Radar – From Urban Streets to Highways
November 16 at 14:30

See you in Frankfurt!

[Arbe @Arbe_Robotics]

Heading to UVID 2026? Meet the Arbe team in Tel Aviv.
Let’s talk about how high-resolution radar helps detect small, low-flying drones and gives unmanned ground vehicles the perception they need to navigate in dust and low visibility.

📅 November 12, 2026
📍 Tel Aviv, Israel

Message us to set up a meeting
https://t.co/CY69hVzm4r

[Arbe @Arbe_Robotics]

At highway speeds, a hazard in the distance can become an immediate danger in seconds. Arbe’s HD Radar enables Eyes-Off driving by detecting critical hazards early, even when visibility deteriorates: https://t.co/zYmjWnB49J

Arbe’s HD Radar combines a 48×48 channel array with ultra-high resolution to distinguish critical hazards at long range, from lost cargo to a pedestrian near a guardrail. Precise object separation and low false alarms help the vehicle understand the road ahead in rain, fog, darkness, and bright sunlight.

For OEMs pursuing L3 autonomy, that means dependable perception designed for Eyes-Off driving at full highway speeds.

[Arbe @Arbe_Robotics]

Dust is part of the job for unmanned ground vehicles. Losing perception shouldn’t be.
When visibility drops, detecting an obstacle is only the beginning. UGVs still need to identify free space, understand the terrain, and find a viable path forward.
Our latest blog explores how Gryphon, Arbe’s ultra-high-resolution 4D imaging radar, provides the detailed perception needed to support navigation when optical sensors are compromised.
Read the full blog > https://t.co/FtMtDZLciZ

[Arbe @Arbe_Robotics]

Taking autonomy off the beaten path.
Join Arbe at Off-road Autonomy & Robotics 2026, October 28–29 in Munich, Germany.

Catch the session with Ilan Hayat, Director of Business and Customer Development at Arbe, and connect with our team to explore how high-resolution radar supports off-road autonomy.

See you in Munich!
https://t.co/8xmA47tdXC

[Arbe @Arbe_Robotics]

Hello from Future Forces Exhibition & Forum in Prague!

Thank you to everyone who stopped by today to meet our team and explore Arbe’s radar technology for defense and homeland security.

Joining us tomorrow? Come meet us at Booth #210, Hall #2!

[Arbe @Arbe_Robotics]

Meet Gryphon, Arbe’s ultra-high-resolution 4D imaging radar system for unmanned ground vehicles, designed to deliver reliable perception detailed enough to drive on through dust, rough unmapped terrain.
From detecting stationary hazards and people in limited visibility to mapping free space at long range, Gryphon brings our production-proven automotive radar stack to off-road autonomy.
Read the full announcement: https://t.co/Rjfct3ABgg

[Arbe @Arbe_Robotics]

Book a meeting with Arbe at the Future Forces Exhibition & Forum in Prague!

Come and see how Arbe’s 4D imaging radar supports autonomy and safety in defense and homeland security:
🛜 Counter-drone: Alerion, our counter-drone radar, detects and tracks small, low-flying drones
🛜 Critical infrastructure protection: persistent sensing for high-value sites
🛜 Autonomous and unmanned ground vehicles: high-detail perception for safe navigation

October 21–23, 2026 | Prague, Czech Republic
Booth #210, Hall #2

Join our session: Roman Levi, Senior VP Business & Customer Affairs
🕦 Oct 22nd | 11:30 | Exhibitor Stage, Hall 5, Stand #526

Let’s talk about what your next mission needs from radar.

[Arbe @Arbe_Robotics]

A bridge above the road🌉 A stopped vehicle in the lane🚍
The difference matters.

4D imaging radar measures height alongside distance, speed, and horizontal position. With high resolution, it helps distinguish overhead structures from road hazards and separate small objects from larger ones nearby.

Our latest blog explains how this technology works and why it matters for eyes-off driving.

Read the blog > https://t.co/xz6WIYtK6u

[Arbe @Arbe_Robotics]

A motorcycle beside a truck. A worker near heavy machinery. A small drone surrounded by clutter.
In each scenario, reliable perception depends on keeping targets distinct and visible.
Explore how Arbe’s true native resolution captures spatial detail, preserves signal integrity, and processes radar data efficiently to support autonomy and security.
Learn more: https://t.co/axUHndFAgb

[Arbe @Arbe_Robotics]

Heading to EuMW 2026 in London? Join us at the Automotive Forum on October 6.

Arbe CTO Noam Arkind, PhD. will present “From Detection to Perception: A Novel Approach to Radar Integration for Eyes-Off Autonomy” at 17:40.

We hope to see you there!🚛🚙

[Arbe @Arbe_Robotics]

@matchalover1024 The pictures were taken by our team, and are not made by AI, but good catch, we did use AI to remove customer information

[Arbe @Arbe_Robotics]

Bon voyage, radars! 📦

A shipment of our systems is heading out. Behind every radar is a team that worked hard to make this happen (thanks team, you rock!)

Now go make the world a safer place!

[Arbe @Arbe_Robotics]

@dreyfomo More channels don't equal more data, it equals better data.

[Arbe @Arbe_Robotics]

Hardware first, AI second. That’s not just an architecture choice; it’s a fundamental constraint of perception.

With 2,304 virtual channels, high-resolution radar gives perception algorithms richer, more densely sampled information about the physical world. Lower-channel-count systems can use AI to enhance resolution and infer missing detail, but inference is not measurement. The less information the sensor captures, the more the AI must rely on learned assumptions to fill the gaps.

Bottom line: AI can infer, but inference isn’t ground truth.
Read the full blog > https://t.co/DJGty01r1P

[Arbe @Arbe_Robotics]

@vargaonchain 😅

[Arbe @Arbe_Robotics]

What will autonomous driving really mean for private vehicle owners, and when will drivers be able to truly reclaim their time on the road? 🚙 🛣️

In this podcast, Arbe CEO Ram Machness speaks with Dr. Juergen Dickmann about the path from driver assistance to full autonomy, the critical transition from Level 2 to Level 3, the difference between L4 and L5, and how autonomous-driving capabilities may evolve into an on-demand service.

Watch to the full conversation for a closer look at the technology, responsibility, and business models shaping the future of mobility.

https://t.co/hOmGUKZNNC

[Arbe @Arbe_Robotics]

Arbe will be Presenting at AutoSens Europe in Barcelona, September 22–24.

Catch Noam Arkind, Arbe’s CTO, for the session:
״Physical AI Starts with Perception: Why HD Radar Is Becoming a Critical Enabler of Safe Autonomy״
September 24 | 12:15 | Room 7

🚙 See you in Barcelona!

[Arbe @Arbe_Robotics]

We’ll be showing our Alerion C-UAS Radar solution for the first time at Counter UAS Homeland Security Europe, taking place September 23–24 in London.

The Arbe team will be there to demonstrate Alerion and meet with industry leaders and partners.
If you are attending, we’d be happy to connect.

[Arbe @Arbe_Robotics]

When will privately owned autonomous vehicles finally become a reality, and what technologies will make them safe enough for widespread adoption?

In a new Ynet discussion, Arbe CEO Ram Machness explains why cameras alone cannot meet the safety standards expected of autonomous vehicles, and how high-definition imaging radar provides reliable 4D perception, including in difficult weather conditions.
He also shares his outlook for the market, predicting that China could introduce privately owned autonomous vehicles as early as the end of 2027, ahead of Western markets.

Read more here: https://t.co/U0IuOwIOCi