Radar Takes over Lidar Tasks Valeo Supplies Radar Sensors with 50 Times the Resolution to a US Electric Car Manufacturer

From Dipl.-Ing. (FH) Hendrik Härter | Translated by AI 2 min Reading Time

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With 50 times the resolution and deep learning support, Valeo's radar technology enables the leap from L2+ to Level 3 via over-the-air update.

Higher resolution: Valeo has developed a sensor platform that offers 50 times higher resolution. Not only static objects are detected, but the system also creates a detailed environmental map.(Image:  Valeo)
Higher resolution: Valeo has developed a sensor platform that offers 50 times higher resolution. Not only static objects are detected, but the system also creates a detailed environmental map.
(Image: Valeo)

In the world of advanced driver-assistance systems (ADAS), the boundaries between hardware and software are shifting. Valeo has been awarded a contract by a leading North American electric vehicle manufacturer to supply its latest radar platform. The system, which includes both corner and front radars, forms the backbone for upcoming Level 2+ and Level 3 systems.

Precision Through 50-Fold Resolution Increase

The core of the order is a technological innovation. The sensors offer 50 times higher resolution than previous generations. The radar no longer only detects static objects but creates a detailed environmental map, which was previously reserved for lidar systems. The front radars achieve a range of up to 250 meters (approx. 820 feet) and use waveguide antenna technology to minimize interference in complex environments such as tunnels or heavy rain.

Software-Defined Hardware

A critical aspect for modern OEMs is the modular design. Valeo's platform is designed to scale from the entry-level segment to autonomous driving functions at Level 3 without significantly increasing the underlying hardware complexity. The systems support over-the-air updates. This allows a vehicle to be delivered with L2+ hardware, while the software for highly automated eyes-off driving can be activated later once regulatory frameworks and software validation permit it.

AI and Sensor Fusion in Edge Computing

Behind the data streams lies a powerful computing architecture from Valeo. The company relies on deep learning-based sensor fusion. The corner radar sensors create a 360-degree safety shield around the vehicle. Beyond classic functions such as the Blind Spot Detection (BSD) or Lane Keeping Assist (LKA), the high data quality enables precise maneuvers within millimeter accuracy. This is particularly essential for autonomous parking in tight urban spaces.

“This order confirms our strategy of combining hardware excellence with software intelligence,” explains Marc Vrecko, CEO of the Valeo Brain Division. “Our technology not only meets the stringent GSR and NCAP requirements but is also designed for the upcoming centralized AI software architectures of vehicle manufacturers.”

While radar was long considered merely a coarse sensor, Valeo bridges the gap to more expensive sensors and sensor fusion through higher resolution combined with AI analysis. With the "Elevate 2028" program, Valeo positions itself definitively as a system supplier, actively shaping the software architecture of autonomous driving rather than just delivering components.

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