Autonomous Driving Concept Stocks Insight | XPENG-W (09868.HK) Trades Weaker, Released Embodied Perception Foundation Model GroundingPI with Universities on Nov 4

On November 6, 2026, XPENG-W (09868.HK) edged lower. As of 16:16, it traded at HK$38.92, down 3.04%.
Key Highlights:
  • on November 4, XPeng Inc., together with research teams from Peking University, the University of Hong Kong and other universities, unveiled research outcomes of the embodied perception foundation model GroundingPI.
  • 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.

NewTimeSpace News: On November 6, 2026,XPENG-W(09868.HK) edged lower. As of 16:16, it traded at HK$38.92, down 3.04%.

According to Jiemian News, on November 4, XPeng Inc., together with research teams from Peking University, the University of Hong Kong and other universities, unveiled research outcomes of the embodied perception foundation model GroundingPI. The research adopts a "perception-first" technical route. With around 4 billion parameters, it ranks first in comprehensive evaluations across 34 public perception benchmarks.

Soochow Securities noted that driven by the dual carbon goals, China’s innovative energy development is advancing toward technological independence and multi-energy complementation. Gas turbines, as key flexible regulating power sources, receive strong policy support to build an independently controllable industrial chain by 2030. Meanwhile, the new power system is accelerating development to ease pressure on renewable power consumption. Thermal power is shifting to tap flexible value, while nuclear power enters a faster growth phase, jointly forming dual drivers for energy security and green transition.

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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