A travel plan generation device used for an autonomous driving system of a vehicle includes circuitry, in which the circuitry is configured to generate a restriction related to a quantity of state of the vehicle, and generate a target trajectory and a target vehicle speed of the vehicle as a travel plan so as to satisfy the restriction by using a Bayes filter as a state estimation calculation without a convergence calculation.

A vehicle controlled for traveling on a road having a geometric design defined by one or a combination of an alignment, a profile, and a cross-section of the road, such that different values of parameters of the geometric design of the road, traffic on the road, traffic rules for the flow of the traffic on the road define different traffic scenarios. The vehicle is controlled by transforming the mixed-integer non-convex constrained optimization problem for the current real-world traffic scenario into a mixed-integer convex optimization problem for an approximate representation of the real-world traffic scenario by relaxing the configuration parameters of the real-world scenarios and tightening corresponding limitation parameters. The transformed mixed-integer convex optimization problem for the approximate representation of the real-world traffic scenario is solved to produce a current control command for controlling one or multiple actuators of the vehicle.

A driving assistance method for controlling an own vehicle by a controller in such a way that the own vehicle travels along a target travel trajectory includes: acquiring level-difference information of a level difference existing along a lane in which the own vehicle travels; and when, from the level-difference information, determining that the own vehicle is to climb over the level difference, generating the target travel trajectory in such a way that a level-difference climbing-over angle, which is an angle formed by the level difference and the target travel trajectory, is larger than a threshold value.

A vehicular driving assistance system includes a camera viewing exterior of a vehicle and capturing image data. The system, via processing captured image data as the vehicle travels along a current traffic lane, determines a current lateral position of the vehicle within the current traffic lane and determines a target lateral position of the vehicle within the current traffic lane. The system determines a steering command to guide the vehicle from the current lateral position to the target lateral position and determines a steering angle offset required to maintain the target lateral position within the current traffic lane and stores the determined steering angle offset in nonvolatile memory. After storing the determined steering angle offset and when the vehicle is traveling during a subsequent trip, the system determines a second target lateral position of the vehicle within the current traffic lane and applies the stored steering angle offset.

An optimal lane keeping assistance device of an articulated vehicle (100), in which a tractor (200) and a trailer (300) are connected via a fifth wheel coupling (400), includes a first sensor (520,540) which detects a tractor state variable, a second sensor (560) which detects a fifth wheel coupling (400) state variable, and an electric control unit (500) incorporating a microcomputer. The electric control unit (500) calculates a control variable (Uc) according to a target lateral displacement value (Yd), an output signal of the first sensor (520, 540), and an output signal of the second sensor (560), taking into account a feedback gain of an optimal control rule, to calculate a target steering angle (?f) of the tractor (200) according to the calculated control variable (Uc) and the output signal of the first sensor (520,540), and to assist steering of the tractor (200) based on the calculated target steering angle (?f).

Based on a steering control input, a measured value of the steering control attribute and a measured value of the traction control attribute received by a steering application, determining: a first setpoint value of the steering control attribute; a target steering angle of the steered wheel of the vehicle. Based on receiving, by a traction application executing on the vehicle control module of the vehicle: a traction speed control input to control the traction wheel of the vehicle, and the target steering angle, from the steering application, determining, by the traction application: a second setpoint value of the traction control attribute.

Provided is a feature such that the opportunity to cancel travel control can be reduced by seamlessly switching between travel modes in combination with a plurality of functions. This travel control device 201 has: a first mode which causes a vehicle to travel according to the control target set on the basis of an object outside the vehicle; and a second mode which causes the vehicle to travel according to the control target set irrespective of an object outside the vehicle. If it is impossible to set the control target on the basis of the object outside the vehicle during traveling in the first mode, the travel mode is shifted to the second mode. If it is impossible to set the control target on the basis of the object outside the vehicle during traveling in the second mode, the travel mode is shifted to the first mode.

A steering control system for a vehicle that considers the limitations of at least one of the vehicle and the environment is contemplated. The steering control system can receive a vehicle characteristic, an environmental condition, a desired amount of turning, and a desired velocity of the vehicle. Based on some, or all of these parameters, the steering control system can determine at least one of a wheel torque, a wheel angle, a wheel camber, and a wheel suspension for a desired vehicle path to enhance vehicle performance.

A system for controlling a vehicle navigating a roadway, including a perception module that generates sensor data and outputs a cost map and traffic data associated with traffic objects, a behavior planning module that receives the cost map and the traffic data from the perception module and generates planner primitives, a training module that receives the cost map and the traffic data from the perception module, receives driver input from a vehicle operator, and trains the behavior planning module, a local planning module comprising a set of task blocks that receives the cost map from the perception module and the planner primitives from the behavior planning module, selects a task block, and generates control commands using the selected task block; and a control module comprising an actuation subsystem, wherein the control module receives the control commands from the local planning module and controls the actuation subsystem.

A target steering angle calculator calculates, based on a target curvature, a target steering angle representing a steering angle of the vehicle at a target position. A current steering-angle obtainer obtains a current steering angle representing a steering angle of the vehicle at a current position. A steering controller controls the steering of the vehicle to cause the current steering angle to follow the target steering angle. A distance estimator estimates, based on at least one of the environmental information around the vehicle and control information about the vehicle, a visible distance representing a distance visibly recognizable by the driver of the vehicle to a front of the vehicle. The target curvature obtainer uses the visible distance as the target distance to obtain the target curvature at the predetermined target position that has the visible distance away from the current position along the road in the travelling direction.