Abstract: A method for estimating the speed of a motor vehicle includes defining a first speed threshold that corresponds to a minimum speed value supplied by a vehicle wheel angular speed sensor, defining a second speed threshold that is greater than the first, estimating low speed values when the vehicle is running below the first speed threshold by using an estimation method of adaptive filtered type, measuring high speed values when the vehicle is running above the second speed threshold by using vehicle speed values supplied by the wheel angular speed sensor, and in the intermediate zone between the first and second speed thresholds, mixing high speed with low speed.

Abstract: A method for estimating the speed of a motor vehicle includes defining a first speed threshold that corresponds to a minimum speed value supplied by a vehicle wheel angular speed sensor, defining a second speed threshold that is greater than the first, estimating low speed values when the vehicle is running below the first speed threshold by using an estimation method of adaptive filtered type, measuring high speed values when the vehicle is running above the second speed threshold by using vehicle speed values supplied by the wheel angular speed sensor, and in the intermediate zone between the first and second speed thresholds, mixing high speed with low speed.

Abstract: A device for controlling, in real time, the trajectory of an autonomous vehicle includes a control module which produces, in real time, from a state vector at each point in time, a first steering command in order to stabilize the trajectory of the vehicle relative to a vehicle path. The device includes an anticipation module which generates a variable representative of a meta-vector of deviations for each predicted position of the vehicle at points in time resulting in a given quantity at the current point in time and of the state vector at the current point in time. The control module produces the first steering command by quadratic optimization of a relationship between the generated representative variable and a meta-vector of successive steering commands for each predicted position of the vehicle at points in time resulting in a given quantity at the current point in time.

Abstract: A device for controlling, in real time, the trajectory of an autonomous vehicle includes a control module which produces, in real time, from a state vector at each point in time, a first steering command in order to stabilize the trajectory of the vehicle relative to a vehicle path. The device includes an anticipation module which generates a variable representative of a meta-vector of deviations for each predicted position of the vehicle at points in time resulting in a given quantity at the current point in time and of the state vector at the current point in time. The control module produces the first steering command by quadratic optimization of a relationship between the generated representative variable and a meta-vector of successive steering commands for each predicted position of the vehicle at points in time resulting in a given quantity at the current point in time.

Abstract: A method and device detect the imbalance of a vehicle wheel. The method includes measuring a rotation speed of the wheel while the vehicle is moving, and calculating a filtered value by applying at least one step of band-pass filtering to the measured rotation speed value of the wheel. A position of a pass-band of the band-pass filtering step is offset while moving as a function of the rotation speed of the wheel.

Abstract: A method and device detect the imbalance of a vehicle wheel. The method includes measuring a rotation speed of the wheel while the vehicle is moving, and calculating a filtered value by applying at least one step of band-pass filtering to the measured rotation speed value of the wheel. A position of a pass-band of the band-pass filtering step is offset while moving as a function of the rotation speed of the wheel.