Bichun Li

Efficient and High-Fidelity Mobility Prediction for Unmanned Ground Vehicles Based on Gaussian Sampled Terrain and Enhanced Neural Network

To avoid unmanned ground vehicles being obstructed by deformed terrain in off-road, effective vehicle mobility analysis is required. However, the computational complexity of existing mobility analysis methods, such as discrete element analysis, poses significant challenges when applied to large-scal