Chengxin Zhilian's "Land-Air Coordination" Showcased on CCTV as Unmanned Teams Demonstrate Intelligent Collaboration Challenge

On the evening of August 5th at 20:30, the "CMG World Robot Skills Competition" broadcast on CCTV Science and Education Channel (CCTV10) featured the impressive debut of Chengxin Zhilian's independently developed "Multi-Unmanned Terminal Air-Ground Coordination Control System." This system, centered on "land-air coordination," integrates unmanned vehicles, drones, and robotic dogs to form a "land-air team." In real-world settings such as Wuhan East Lake Greenway, Hubu Alley, and Optics Valley Skyrail, it completed a precise and efficient intelligent collaboration challenge, demonstrating the practical capabilities of diverse heterogeneous technologies in complex environments.

Air-ground coordination: Performing the entire process of "intelligent tracking"

In the competition, the system's collaborative logic is clear and efficient.

Drones take the lead in reconnaissance: serving as an aerial hub, drones autonomously fly and transmit high-definition images in real time, accurately locking onto target individuals through built-in visual recognition algorithms, and highlighting them with bounding boxes.

Real-time positioning on a 3D map: When the operator clicks on the person’s bounding box in the image, the system immediately marks the target person’s location on the 3D point cloud map and simultaneously sends the coordinate information to the ground unit.

Ground unit autonomous action: Upon receiving location information, unmanned vehicles and robotic dogs quickly initiate autonomous path planning functions to avoid pedestrians, obstacles, and other interferences, moving towards the target location along the optimal route.

From aerial detection to ground response, the entire process is seamlessly integrated, demonstrating the full-chain intelligence of the system in "perception - decision-making - execution."

Three practical scenarios to verify technical strengthThe adaptability and reliability of the multi-unmanned terminal air-ground collaborative control system have been fully validated in the three major iconic scenes of Wuhan.

East Lake Greenway: Confronted with the expansive scene where park and lake intertwine, the dense forest forms a natural barrier. Relying on point cloud maps, drones autonomously explore and quickly penetrate through leafy obstructions to lock onto targets; meanwhile, ground unmanned vehicles nimbly weave among crowds and cyclists, leveraging precise obstacle avoidance algorithms to steadily reach the location of NPC targets.

Hubu Alley: The dense shops and narrow lanes of this downtown pedestrian street form a complex maze, with surging crowds adding to the challenge. A 3D point cloud map constructed using SLAM technology accurately restores the texture of the streets and alleys. Relying on its own multi-sensor perception system, the unmanned vehicle continuously avoids pedestrians and obstacles, navigating freely within limited space with centimeter-level positioning accuracy.

Optics Valley Sky Rail: The three-dimensional space beneath the elevated track conceals traps with varying elevations. The system ensures flawless coordination accuracy of the "Land-Air Squad" through deep fusion of multi-terminal data: drones precisely control flight altitude to firmly lock onto targets from an aerial perspective; robotic dogs easily adapt to mixed terrains such as gravel, grass, and bridge surfaces, autonomously planning paths to successfully reach the target point.

Finally, the "Land and Air Squad" successfully located the NPC targets set by the program team in all three major scenarios, obtained the task cards, and completed the challenges, demonstrating the system's ability to achieve autonomous decision-making in complex and dynamic environments through their actual performance.

Technology Empowerment: Reshaping the New Paradigm of Human-Machine Collaboration

The multi-unmanned terminal air-ground collaborative control system unveiled this time marks another breakthrough for Chengxin Zhilián in the field of heterogeneous technology. By breaking down the communication barriers between aerial and ground devices and enabling real-time data interaction and coordinated decision-making, the system not only enhances the intelligence of individual unmanned equipment, but also builds a collaborative ecosystem where “1+1>2”. Whether it is autonomous navigation in complex road conditions or real-time response in dynamic scenarios, the technology demonstrates its core value in empowering unmanned equipment and improving operational efficiency.

Tune in to CCTV Science and Education Channel (CCTV10) or watch exciting clips on Yangshipin and CCTV.com to experience the intelligent transformation brought by Chengxin Zhilian's "Multi-UAV Terminal Air-Ground Coordinated Control System" technology. Witness the hard-core strength of unmanned systems transitioning from the laboratory to everyday life scenarios.