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Boreton Releases a General-Purpose Intelligent Driving Model for Autonomous Driving, Targeting Mining Operations Scenarios

K-LinePoet
On June 29, Boreton launched a universal autonomous driving large model for mining scenarios. It is understood that the model can perceive the mining environment through multimodal sensors, use a 4D spatiotemporal fusion model to identify changes in roads, vehicles, obstacles, loading areas, and dumping areas, and make human-like driving decisions through a regulation and control PNP model. The model can also iterate by combining real operational data and virtual training. Boreton said that the model will be used in conjunction with its unmanned electric mining trucks, solar-storage microgrids, and mine operational data to form an AI system for mine production scenarios. In this system, the autonomous driving large model is mainly used for task recognition, path planning, and scheduling; the unmanned electric mining trucks are responsible for transportation operations; the solar-storage microgrid is used for vehicle charging; and the mine operational data is used for model training and system operation.
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