Abstract: In response to the local path planning problem of the unmanned vehicle in mining face and dump operation scenes, a collision-free local path planning method for unmanned vehicles based on Dubins curve is proposed. Firstly, aiming at the mining scene, the path planning and vehicle trajectory point solving method is proposed to obtain a set of local paths based on Dubins curve. Then under the condition of satisfying the dynamic constraints of the vehicle, Dubins curve paths are detected by collision detection a-rithmetic designed based on the separation axis theory and vehicle feasible region based on kinematic bicycle model to filter out a colli-sion-free trajectory. The evaluation function H is designed, and the path with the smallest loss value is finally obtained by comparing the evaluation function values of the curves. Using B-spline curve smoothing, an optimal local path can be obtained. In the simulation software, the proposed path planning method is simulated by setting a specific scene. The result indicates that the local path planned by this method can meet the vehicle kinematics constraints, when the value of the function H reaches 158. 7, the path is the shortest and smooth. The proposed local path planning method has a significant effect in real-time and effectiveness in solving the local path planning problems in mining face and dump scene in the mining area, and can provide theoretical and practical basis for local path planning of unmanned vehicles in this scene.