Main products
Suzhou Shangliwei Technology focuses on the application of concrete intelligence and autonomous driving technology. Its products are mainly divided into two core segments: unmanned aerial vehicle ground handling equipment and intelligent construction equipment for construction sites.
Through our self-developed AI decision-making system and high-precision control algorithms, we provide safe, stable, and scalable unmanned solutions for various industries.
Autonomous tractor baggage car
Autonomous Aircraft Docking Baggage Vehicle
Functional positioning
Addressing the high-risk operational environment of airport ground handling, Shangliwei Technology has developed an unmanned baggage handling vehicle with integrated capabilities of automatic parking, precise docking, and baggage transfer, based on multi-sensor fusion perception, 3D reconstruction, and intelligent decision-making algorithms. This provides airport ground support with an efficient, safe, and intelligent automated solution.
A fully autonomous baggage transfer vehicle designed for aircraft docking operations, integrating multi-sensor fusion, 3D reconstruction, and intelligent decision-making to achieve precise alignment, safe approach, and efficient baggage handling in constrained apron environments.
Chassis drive-by-wire and environmental perception
By using hardware modules such as lidar, cameras, infrared and inertial sensors, the system enables all-round vehicle perception, accurate mapping and path recognition, providing high-precision environmental understanding capabilities for ground operations.
Intelligent obstacle avoidance and dynamic optimization
The system can scan the aircraft outline and ground obstacles in real time. By combining reinforcement learning and neural radiation field modeling technology, it continuously optimizes the flight path and operation strategy to ensure safety and efficiency in complex scenarios.
3D reconstruction of fuselage and hatch
Based on the fusion technology of LiDAR and vision, 3D reconstruction is performed, combined with dynamic path planning algorithms, to achieve precise docking, automatic docking and safe disengagement operations.
Data-driven security design
By introducing virtual simulation and multi-scenario data acquisition systems, and through large-scale simulation testing and engineering data verification, the robustness of the algorithm and the redundancy and security of the system are continuously enhanced.
Autonomous baggage tow vehicle
Autonomous Docking Vehicle
Chassis drive-by-wire and environmental perception
Employing a high-precision drive-by-wire chassis architecture, combined with LiDAR, cameras, and millimeter-wave radar sensing modules, the system achieves comprehensive perception and path recognition in the complex airport environment. It can operate stably in low visibility, rain, fog, and nighttime conditions, providing highly reliable support for ground operations.
Intelligent obstacle avoidance and dynamic optimization
The system can identify obstacles on the runway, taxiway, and apron in real time. By combining reinforcement learning and neural radiation field modeling algorithms, it continuously optimizes path and acceleration control strategies to ensure a smooth, safe, and efficient driving process.
Automatic drag-and-drop and queue coordination
This innovative system features an "automatic pallet towing" function. Through visual recognition and path planning algorithms, the tractor can autonomously complete the docking, attaching, and detaching of luggage pallets. Multiple vehicles can also achieve intelligent platooning and collaboration, improving luggage transportation efficiency and scheduling flexibility.
Data-driven security design
By introducing a multi-scenario simulation and field data acquisition system, and based on large-scale virtual verification and engineering data feedback, we continuously enhance algorithm redundancy and braking safety, enabling the equipment to operate stably for a long time in high-intensity working environments.
Functional positioning
Addressing the complex operational environment of aviation ground handling, Shangliwei Technology leverages multi-sensor fusion and embodied intelligent algorithms to provide fully automated, precise, and safe solutions for high-density airport operations.
A fully autonomous vehicle built for precise aircraft docking and ground handling, ensuring accurate positioning and collision-free operations in constrained apron environments.
Product Application Cases
Product Application Scenarios: Unmanned Ground Services at Smart Airports – The World's First Application of Unmanned Near-Aircraft Operation Equipment
Shangliwei Technology, in partnership with China Southern Airlines, has jointly developed the world's first near-aircraft operations equipment system that achieves unmanned and intelligent operation , effectively reducing operational risks for airport ground staff and contributing to the construction of smart airports.
Project Background
Airport ground handling equipment is one of the links in civil aviation operations with the highest frequency of close contact with aircraft. Traditional manual operation is not only labor-intensive, but also carries potential risks such as collisions with aircraft and operational errors. In response to the "Action Plan for the Construction of Four Types of Civil Aviation Airports" regarding the development goals of "safe, green, smart, and people-oriented airports," the project focuses on the intelligent and unmanned transformation of ground handling equipment.
Technical solution
The project adopts Shangliwei's self-developed multi-sensor fusion and embodied intelligent decision-making algorithm to carry out wire-controlled transformation and intelligent perception upgrade of China Southern Airlines' existing equipment (baggage conveyor vehicles, de-icing vehicles, cargo platform vehicles, etc.) to achieve fully unmanned operation of automatic docking, precise docking and safe separation.
Results and Applications
The solution has been successfully piloted at key airports such as Guangzhou and Beijing Daxing, attracting significant attention from the Civil Aviation Administration of China and numerous airlines. The project has not only significantly improved operational efficiency and safety levels but also provided a replicable technological model for the construction of smart airports.
Unmanned body loader
Embodied Autonomous Loader
Integrated Perception and Decision-Making System
By integrating vision, radar, force control, and environmental feedback, the machine can adaptively understand and dynamically make decisions about the work scenario, and automatically adjust its action logic and operation path according to different tasks.
AI self-learning and continuous optimization engine
By using AI reinforcement learning algorithms, we continuously optimize path planning and loading strategies, improve operational efficiency and accuracy, and achieve an evolutionary growth from single-machine intelligence to group collaboration.
Vehicle-to-Everything (V2X) Collaborative Control Platform
Based on the vehicle-to-everything (V2X) adaptive system, it supports multi-machine collaboration and task allocation, enabling group control, remote monitoring, and visualized management of work status, ensuring the safe and efficient operation of the system.
Modular deployment and multi-scenario adaptation
The system is highly modular and can be quickly deployed to various scenarios such as mining areas, ports, and construction sites, adapting to flexible access with different devices and network architectures.
Functional positioning
Addressing the complex operating environments of mines and construction sites, Shangliwei Technology integrates embodied intelligence and multi-sensor fusion technologies to build an integrated "perception-decision-execution" system, enabling unmanned loading, autonomous driving, and remote collaboration, providing safe, efficient, and intelligent operating solutions for construction machinery.
Designed for mining and construction environments, Sunnyway integrates embodied intelligence and multi-sensor fusion technologies to build a unified “Perception–Decision–Execution” system, enabling unmanned operation, autonomous driving, and coordinated control with high safety and efficiency.
Product Application Cases
Business Case Study in Smart Road and Bridge Engineering: Cluster Application of Automated Loaders and Unmanned Road Rollers
Shangliwei Technology has partnered with several universities to establish practical training bases, promoting applied research in intelligent construction, data acquisition, and group control, and contributing to industry standardization. The project's achievements have garnered significant attention from key transportation universities (Nantong University, Chang'an University, etc.) and large state-owned enterprises, and have been selected as a "Smart Highway Demonstration Project." On-site applications have implemented core functions such as automatic compaction control, AI dynamic path optimization, group control collision avoidance collaboration, and nighttime construction visualization monitoring, significantly improving construction efficiency and safety.
Project Background
Frequent safety accidents at concrete mixing plants and difficulties in detecting material loading and unloading errors have led to challenges in ensuring road quality and construction safety. To address this, Shangliwei Technology, in partnership with Poly Changda, has developed a fully automated operation system for smart road and bridge construction, achieving full automation from material loading and transportation to compaction.
Product delivery
The industry's first integrated service for automated loaders and a cluster system for unmanned road rollers.