Abstract:
Autonomous control of a subject vehicle including a longitudinal motion control system includes determining states of parameters associated with a trajectory for the subject vehicle and parameters associated with a control reference determined for the subject vehicle. A range control routine is executed to determine a first parameter associated with a range control command based upon the states of the plurality of parameters, and a speed control routine is executed to determine a second parameter associated with a speed control command based upon the states of the plurality of parameters. An arbitration routine is executed to evaluate the range control command and the speed control command, and operation of the subject vehicle is controlled to achieve a desired longitudinal state, wherein the desired longitudinal state is associated with a minimum of the range control command and the speed control command.
Abstract:
A vehicle including a Global Positioning System (GPS) sensor, an Inertial Measurement Unit (IMU), and an Advanced Driver Assistance System (ADAS) is described. Operating the vehicle includes determining, via the GPS sensor, first parameters associated with a velocity, a position, and a course, and determining, via the IMU, second parameters associated with acceleration and angular velocity. Roll and pitch parameters are determined based upon the first and second parameters. A first vehicle velocity vector is determined based upon the roll and pitch parameters, the first parameters, and the second parameters; and a second vehicle velocity vector is determined based upon the roll and pitch parameters, road surface friction coefficient, angular velocity, road wheel angles and the first vehicle velocity vector. A final vehicle velocity vector is determined based upon fusion of the first and second vehicle velocity vectors. The vehicle is controlled based upon the final vehicle velocity vector.
Abstract:
A vehicle including a Global Positioning System (GPS) sensor, an Inertial Measurement Unit (IMU), and an Advanced Driver Assistance System (ADAS) is described. Operating the vehicle includes determining, via the GPS sensor, first parameters associated with a velocity, a position, and a course, and determining, via the IMU, second parameters associated with acceleration and angular velocity. Roll and pitch parameters are determined based upon the first and second parameters. A first vehicle velocity vector is determined based upon the roll and pitch parameters, the first parameters, and the second parameters; and a second vehicle velocity vector is determined based upon the roll and pitch parameters, road surface friction coefficient, angular velocity, road wheel angles and the first vehicle velocity vector. A final vehicle velocity vector is determined based upon fusion of the first and second vehicle velocity vectors. The vehicle is controlled based upon the final vehicle velocity vector.
Abstract:
A method for providing low speed lateral steering control for a vehicle is disclosed. The method includes receiving sensor data corresponding to a road wheel angle, determining a planned vehicle path of travel, defining a road wheel angle search range based on a maximum road wheel angle rate, determining a steering control goal using the road wheel angle that tracks and measures a difference between a current vehicle path and the planned vehicle path, determining an optimal steering control signal using the road wheel angle and the steering control goal and providing the control signal to a steering controller.
Abstract:
Methods and system are provided for controlling a vehicle. The methods and systems read sensors and estimate pneumatic trail for a tire of the vehicle based on the sensor readings. The methods and systems determine presence or absence of a tire lateral saturation condition based on a comparison of the estimated pneumatic trail for the tire of the vehicle with a pneumatic trail threshold indicative of a tire lateral saturation condition. When the tire lateral saturation condition is present, the methods and systems determine a control value and use the control value as an input to a vehicle control module. The vehicle control module is responsive to the tire lateral saturation condition based on the control value.
Abstract:
Methods and systems are provided for determining a road surface friction coefficient and controlling a feature of the vehicle based thereon. In one embodiment, a method includes: receiving signals from an electronic power steering system and an inertial measurement unit; estimating parameters associated with an electronic power steering system model using an iterative optimization method; calculating an electronic power steering system variable using the electronic power steering system model, the estimated parameters and one or more of the received signals; determining whether the calculated electronic power steering system variable satisfies a fitness criterion; and when the calculated electronic power steering system variable does satisfy the fitness criterion, determining a road surface friction coefficient based on at least one of the estimated parameters.
Abstract:
A method for automatic activation of a vehicle turn indicator is disclosed. The method may include determining whether a lane change maneuver is impending in a specified direction. The method may also include determining whether the vehicle turn indicator has been activated through a driver interface. The vehicle turn indicator may be engaged when not activated through the driver interface.
Abstract:
A method for automatic activation of a vehicle turn indicator is disclosed. The method may include determining whether a lane change maneuver is impending in a specified direction. The method may also include determining whether the vehicle turn indicator has been activated through a driver interface. The vehicle turn indicator may be engaged when not activated through the driver interface.
Abstract:
A device includes a plurality of tires and a suspension system as subcomponents. The suspension system includes at least one suspension sensor configured to provide suspension data (S). A controller is operatively connected to the suspension sensor. The controller has a processor and tangible, non-transitory memory on which is recorded instructions for executing a method for determining respective tire normal forces (Fzi(t), i=1 . . . 4) for one or more of the plurality of tires, based at least partially on the suspension data (S). The tire normal force (Fz) is the net force acting on each tire (or wheel) in the vertical direction. The tire normal force acting on each tire may be determined without using the specific model of the tire, road information, wheel or tire sensors.
Abstract:
A method for calculating a virtual target path around a target object that includes providing scan points identifying detected objects and separating the scan points into target object scan points and other object scan points. The method identifies a closest scan point from the target object scan points and identifies a path point that is a predetermined safe distance from the closest scan point. The method determines a straight target line adjacent to the target object that goes through the path point, and determines a distance between the target line and each of the other objects and determines whether all of the distances are greater than a predetermined threshold distance. The method identifies curve points for each other object whose distance is less than the predetermined threshold distance, and identifies a curve path that connects the curve points to be the virtual target path using a quadratic polynomial function.