Kalman filtering design for agricultural vehicle state estimation

Agricultural vehicle navigation is the key technology of precision agriculture. But some important state parameters can not be tested or the cost is too expensive for implementation. Agricultural vehicle´s dynamics model was established to see which parameter should be measured. The vehicle´ state can be estimated using extended Kalman filtering theory with equation of vehicle´s state, it is helpful for controlling the state of working vehicle.