Dec. 15, 2025
Source:
Recently, the 9th Annual 2025 High-tech Intelligent Vehicle Golden Globe Awards were announced! Often referred to as the "Oscar" of the smart vehicle industry, this prestigious award has focused on four key dimensions since its inception in 2017: technology innovation, pre-installation targeting, mass production scale, and global expansion. It serves as an important indicator of industry development.
As a leader in L4 autonomous delivery, Rino.ai was awarded the "Pioneer in Autonomous Delivery Commercialization" for its breakthroughs in autonomous driving technology and the large-scale commercialization of last-mile delivery solutions. This recognition solidifies Rino.ai's industry authority and acknowledges its robust capabilities in driving the autonomous delivery vehicles revolution.

As one of the first companies in China to achieve L4 autonomous delivery vehicle large-scale operations, Rino.ai has established a strong first-mover advantage in the commercialization of autonomous delivery.
By 2025, the number of active Rino.ai autonomous vehicles has exceeded 2,000, with operations covering over 150 cities globally, forming a leading last-mile delivery network. Through deep collaboration with industry partners like SF Express and Xinyuan Automotive, Rino.ai has achieved rapid product iteration and large-scale deployment. Within the SF Express system alone, the active fleet of autonomous vehicles has surpassed 1,000.
In the China Post's 7,000-vehicle autonomous delivery vehicle procurement project, Rino.ai partnered with China Post Technology to secure half of the market share, with ongoing mass delivery operations. This further solidifies Rino.ai's leading position in the autonomous logistics and autonomous delivery vehicles sector.
Currently, Rino.ai is continuing to advance the development of automotive-grade products, carrying out full-process vehicle-grade verification according to automotive industry standards, laying the foundation for future large-scale deliveries.

As of now, Rino.ai has built a matrix of nine core application scenarios, covering courier logistics, supermarket retail, fresh delivery, on-demand medicine delivery, campus food delivery, industrial logistics, cold chain transportation, security patrols, and park deliveries. These diversified solutions break through regional and scenario limitations, allowing autonomous driving technology to deeply integrate into various logistics ecosystems.
For example, in the Luxi region of Shandong, the autonomous delivery project jointly developed by Rino.ai and SF Express has already achieved large-scale deployment, with more than 100 autonomous vehicles covering ten cities in the region. Focusing on transit direct delivery and last-mile delivery, this collaboration has enhanced delivery efficiency, reduced operational costs, and effectively alleviated the pressure of last-mile delivery.
From urban public roads to rural roads, and from motor vehicle lanes to mixed lanes with non-motorized vehicles, Rino.ai's autonomous vehicles are equipped to handle complex scenarios such as rain, fog, steep slopes, and detours due to construction. This enables them to operate stably and efficiently in all weather conditions and road conditions, ensuring continuous, reliable service.

Behind this achievement lies Rino.ai's self-developed L4 autonomous driving technology, which serves as the core support. Its core technology, based on the BEV+ lightweight architecture, constructs an end-to-end autonomous driving closed-loop system, covering the entire chain of perception, decision-making, and planning. At the same time, Rino.ai integrates multiple sensing devices, enabling 360° environment perception and precise understanding of complex urban scenarios.
Moreover, through the extreme optimization of online inference, Rino.ai's autonomous vehicles have achieved full computation on a single Orin chip. Paired with product performance that supports a maximum speed of over 60 km/h and a full-load range exceeding 120 km, the vehicles can operate continuously for 24 hours, providing solid technological support for large-scale commercial applications.
With a full-stack technology closed-loop, data-driven efficiency, and cost optimization, Rino.ai's autonomous vehicles have significant advantages in safety, autonomous driving capabilities, and economics, precisely meeting the logistics and delivery needs in various scenarios.

Rino.ai's recent award is a dual recognition of its technological innovation and commercialization achievements. Moving forward, Rino.ai will continue to focus on technology innovation, driving the deep integration of autonomous driving technology into more scenarios. This will continuously fuel the development of smart logistics and the intelligent upgrades across various industries, helping to build a more efficient, intelligent, and green new logistics ecosystem.
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