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Live+7 todayUpdated 1h ago

ZF Wins Safety Category with OnGuardMAX Driver Assistance System

ZF's OnGuardMAX driver assistance system won the Safety category in the ETM Publishing reader poll, recognized by commercial vehicle professionals.

Safety Category Ranking

1st place

What Happened

ZF Friedrichshafen AG received the top ranking in the Safety category of ETM Publishing's "Best of New Transportation" reader poll, based on votes from manufacturers, fleet operators, and professional drivers. The award recognized ZF's OnGuardMAX driver assistance system, which warns of collisions with obstacles, pedestrians, and cyclists, and can automatically initiate full emergency braking. The system also includes adaptive cruise control with stop-and-go functionality and lane-keeping for highway driving, supporting automated driving up to Level 2.

The strong endorsement from readers, reflected in the number‑one ranking we received for safety innovation, is a great source of pride for us. The voters include not only manufacturers and fleet operators but, importantly, professional drivers. Their vote confirms that we are setting the right priorities in our product development. Going forward, we will continue to apply our system expertise to m
Martin Mayer, responsible for ADAS systems in ZF's Commercial Vehicle Solutions division

Why this matters

This award indicates that ZF's advanced safety features are highly valued by industry professionals, potentially influencing future truck safety standards.

Terms in This Story

OnGuardMAX
ZF's advanced driver assistance system for commercial vehicles that includes collision warning, automatic emergency braking, adaptive cruise control, and lane-keeping.
Level 2
Partial automation where the vehicle can control both steering and acceleration/deceleration but the driver must remain engaged.
ETM Award
A reader poll award by ETM Publishing recognizing innovation in the commercial vehicle industry.
Read Original: ZF

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