Rollover risk is assessed from a standard and low-cost vehicle sensing equipment.
The immediate evolution of the risk is inferred from an online adapted dynamic model.
Grip conditions and soil inclination are updated by means of nonlinear observers.
Reconfigurations in vehicle mass/geometry are tracked from optimization techniques.
Full-scale experiments with a grape harvester demonstrate the algorithm capabilities.