Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

A vehicle operable by an unrestrained or uncontained rider and including a controller programmed to identify a trigger for an autonomous vehicle response. A sensor of the vehicle is in communication with the controller and operable to detect a predefined condition as the trigger. A rider sensor system in communication with the controller includes one or both of: a rider cognition sensor, and a rider physical sensor to detect physical engagement between rider and vehicle. On the condition of the controller determining from the rider sensor system that there is positive rider engagement, the controller is programmed to instruct a first level of autonomous vehicle response to the one or more actuators to effect a change in the operation of the vehicle in response to identification of the trigger. In the absence of positive rider engagement determined by the controller, the first level of autonomous vehicle response is prohibited.

A vehicle operable by an unrestrained or uncontained rider and including a controller programmed to identify a trigger for an autonomous vehicle response. A sensor of the vehicle is in communication with the controller and operable to detect a predefined condition as the trigger. A rider sensor system in communication with the controller includes one or both of: a rider cognition sensor, and a rider physical sensor to detect physical engagement between rider and vehicle. On the condition of the controller determining from the rider sensor system that there is positive rider engagement, the controller is programmed to instruct a first level of autonomous vehicle response to the one or more actuators to effect a change in the operation of the vehicle in response to identification of the trigger. In the absence of positive rider engagement determined by the controller, the first level of autonomous vehicle response is prohibited.

In some examples, a controller receives information of a route of a vehicle, and selects a first parameter set from among a plurality of parameter sets based on the route of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the first parameter set to control a setting of the one or more adjustable elements of the vehicle.

A method can be used to control a steer-by-wire steering system in an emergency steering mode. The method comprises checking a steering system for the presence of a fault state and upon detection of a fault implementing the emergency steering mode, which involves determining a setpoint position of a steering tie rod using a setpoint wheel steering angle, determining a front wheel to be braked and a brake pressure to attain the setpoint position with a control unit, transmitting the front wheel to be braked and the brake pressure to a brake system, braking the front wheel to be braked, and increasing a torque provided by a wheel drive to compensate for a loss of speed of the motor vehicle caused by the braking of the front wheel to be braked.

A method can be used to control a steer-by-wire steering system in an emergency steering mode. The method comprises checking a steering system for the presence of a fault state and upon detection of a fault implementing the emergency steering mode, which involves determining a setpoint position of a steering tie rod using a setpoint wheel steering angle, determining a front wheel to be braked and a brake pressure to attain the setpoint position with a control unit, transmitting the front wheel to be braked and the brake pressure to a brake system, braking the front wheel to be braked, and increasing a torque provided by a wheel drive to compensate for a loss of speed of the motor vehicle caused by the braking of the front wheel to be braked.

A vehicle control device includes a first control unit that executes, when an abnormality of a driver of a vehicle is detected, stop control, a second control unit that executes, when the vehicle is determined to have a risk of collision, deceleration control, a determination unit that identifies an object around the vehicle as a target candidate of the collision and determines whether or not there is the risk of the collision with the identified target candidate, and a setting unit that sets, when the abnormality is detected, an operation mode of the deceleration control to a special mode from a normal mode, the normal mode provided for cases in which the abnormality is undetected. The determination unit expands a range for identifying the object around the vehicle as the target candidate of the collision in the special mode as compared with the range in the normal mode.

An example method of providing an at least partially automatic driving function and/or a personalized function in a motor vehicle as well as to the motor vehicle may include establishing a communication link between a communication interface of the motor vehicle and a communication interface of a mobile terminal, which is associated with a user of the motor vehicle; receiving terminal data transferred via the communication link in the motor vehicle, which is recorded on the mobile terminal and which describes at least navigation information and/or user information relating to the user; and providing an at least partially automatic driving function of a driver assistance system of the motor vehicle and/or a personalized function in the motor vehicle by evaluating the received terminal data.

Disclosed herein is a vehicle predictive control method that includes determining a driving prediction horizon in front of a vehicle, dividing the driving prediction horizon into a plurality of steps, at least some of the steps corresponding to a sloped section being integrated into one step according to slopes, and applying a driving prediction model based on a relationship between states of vehicle speed, traction force, and braking force for each step and collectively computing the driving prediction model over the entire prediction horizon to calculate a control value for the vehicle.

Disclosed herein is a vehicle predictive control method that includes determining a driving prediction horizon in front of a vehicle, dividing the driving prediction horizon into a plurality of steps, at least some of the steps corresponding to a sloped section being integrated into one step according to slopes, and applying a driving prediction model based on a relationship between states of vehicle speed, traction force, and braking force for each step and collectively computing the driving prediction model over the entire prediction horizon to calculate a control value for the vehicle.