Autonomous Driving Concept Stocks Watch | XPENG-W(09868.HK) Trades Weaker in Afternoon; Local Acceptance Test of Turing AI Intelligent Driving Completed in Germany
NewTimeSpace News: On 17 July 2026, XPENG-W(09868.HK) slid sideways in afternoon trading. At 15:13, the stock traded at HK$51.70, down 8.58%.
On the news front, XPEV Group hosted the XPEV Brand Day and global premiere of MONA L03 in Munich, Germany on 16 July, launching the XPEV MONA L03, the debut global vehicle under the MONA product line. The new model offers two powertrain variants for the domestic market, namely pure electric and ultra-range-extender, covering a total of nine configurations. Sales are scheduled to roll out across 65 countries and regions worldwide within the year.
Securities Daily reported that He Xiaopeng, Chairman and CEO of XPEV Group, and Liu Xianming, Head of XPEV General Intelligence Center, recently completed the local acceptance test of Turing AI intelligent driving system in Germany. XPEV Group stated that the model, primarily trained on Chinese road data, is capable of handling scenarios including European urban arterial roads, narrow lanes, sharp curves and pedestrian avoidance. It has been optimized for pedestrian priority rules, traffic sign recognition and comprehension of implicit local traffic regulations. The Company is currently advancing mass-production adaptation for the European market, and plans to gradually deliver intelligent driving assistance systems tailored to local road conditions to overseas users starting from 2027.
XPENG-W (09868.HK) Focuses on the full-stack in-house R&D and large-scale deployment of end-to-end autonomous driving foundational models for mass-produced vehicles. Its proprietary XNGP (Advanced Driver Assistance System) has completely decoupled from high-definition maps, demonstrating exceptional generalization capabilities in complex urban NOA (Navigation Guided Pilot) scenarios. The activation rate of advanced ADAS and the mileage penetration rate among users of newly delivered models remain at the industry forefront, providing a highly deterministic benchmark for vehicle-side AI application delivery.
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