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ADAS

First mass-production deployment of WeRide’s WRD 3.0 ADAS solution in co-developed GAC Aion N60

Zahra AwanBy Zahra AwanApril 16, 20262 Mins Read
The Aion N60 powered by WRD 3.0 parked in an urban environment on a cloudy day.
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GAC Aion has launched pre-sales for the Aion N60, a smart urban SUV powered by WeRide Driving (WRD 3.0), formally known as WePilot – the company’s one-stage end-to-end advanced driver assistance system solution.

The Aion N60 has intelligent driving features across the entire line-up, bringing advanced assisted driving to a broad consumer market. With WeRide WRD 3.0, the Aion N60 delivers full-scenario, full-function ADAS capabilities, covering urban roads, highways, parking and active and passive safety.

The Aion N60 is the first mass‑produced passenger vehicle jointly developed by WeRide and GAC Aion, and also marks WeRide’s first mass-production deployment of one-stage end-to-end technology on the Qualcomm Snapdragon platform.

The Aion N60, using WRD 3.0, uses semantic perception and multi-object intention prediction to interpret the behavior of surrounding road users in real time. It is designed to assess potential risks and adjust speed and trajectory in complex traffic environments such as dense urban areas, pedestrian crossings and multi-level junctions. The system aims to balance safety with driving efficiency, avoiding excessive caution while maintaining stable and comfortable vehicle behavior.

Simulation model testing 

The Aion N60’s intelligent driving capabilities are not achieved solely through road testing and operations, but also extensive training in WeRide Genesis, WeRide’s proprietary general‑purpose simulation model that bridges the physical and virtual worlds, integrating physical AI with generative AI.

WeRide Genesis integrates four core modules: AI Scenarios, AI Agents, AI Metrics and AI Diagnostics, forming a closed-loop R&D system spanning scenario generation, algorithm training, quantitative evaluation and root-cause analysis. This enables the Aion N60 to be repeatedly validated in simulation environments tens of thousands of times more complex than real-world public roads, covering scenarios such as vehicle cut-ins, unprotected left turns, emergency maneuvers, pedestrian or cyclist intrusions, road obstructions, extreme weather and natural disaster conditions.

Related news, Pony AI launches self-improving physical AI engine PonyWorld 2.0

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