In a vehicle control device, a switching hyperplane generation unit generates a switching hyperplane based on a travel state of a vehicle and cornering stiffness dependent on a travel surface state as a state of a road surface on which the vehicle travels. A deviation computation unit calculates a deviation between a target trajectory and an actual trajectory of the vehicle. A state estimation unit estimates a state to be controlled of the vehicle based on the deviation calculated by the deviation computation unit. A target steering angle and acceleration/deceleration computation unit calculates a target steering angle and a target acceleration/deceleration rate of the vehicle based on the switching hyperplane generated by the switching hyperplane generation unit and an estimated state as the state estimated by the state estimation unit.

An agent device includes: a plurality of agent function units, in which each of the agent function units provides a service including a voice response to an occupant of a vehicle in response to an utterance of the occupant; and a manager which, when any of the plurality of agent function units is being activated and the predetermined same operation is performed on the plurality of agent function units by the occupant of the vehicle, causes the agent function unit which is being activated to stop.

A vehicle system, including: an on-board device mounted on a vehicle; and a control device configured to control the on-board device such that the vehicle travels in a target traveling state, wherein the control device includes: a predicting portion that predicts a state of the on-board device when the vehicle travels in the target traveling state; and a modifying portion that modifies the target traveling state when the control device determines based on the state of the on-board device predicted by the predicting portion that an operation of the on-board device needs to be limited.

Systems and methods are provided for generating data indicative of a friction associated with a driving surface, and for using the friction data in association with one or more vehicles. In one example, a computing system can detect a stop associated with a vehicle and initiate a steering action of the vehicle during the stop. The steering action is associated with movement of at least one tire of the vehicle relative to a driving surface. The computing system can obtain operational data associated with the steering action during the stop of the vehicle. The computing system can determine a friction associated with the driving surface based at least in part on the operational data associated with the steering action. The computing system can generate data indicative of the friction associated with the driving surface.

Systems including one or more sensors, coupled to a vehicle, may detect sensor information and provide the sensor information to another computing device for processing. A system includes one or more sensors, coupled to a vehicle and configured to detect sensor information, and a computing device configured to communicate with one or more mobile sensors to receive the mobile sensor information, communicate with the one or more sensors to receive the sensor information, and analyze the sensor information and the mobile sensor information to identify one or more risk factors.

Systems and methods of using a common control scheme to autonomously controlling a vehicle during semi-autonomous and fully autonomous driving modes are provided. In particular, embodiments of the presently disclosed technology incorporate reference tracking for driving input and vehicle state into this common control scheme. In some embodiments, this common control scheme may be implemented using Model Predictive Control (MPC).

A system for navigating a vehicle may include a processor programmed to receive an output provided by a vehicle sensor, and determine a navigational maneuver for the vehicle along a road segment based on the output provided by the vehicle sensor. The processor may also be programmed to determine a yaw rate command and a speed command for implementing the navigational maneuver. The processor may also be programmed to determine a first vehicle steering angle based on the yaw rate and speed commands using a first control subsystem, and determine a second vehicle steering angle based on the yaw rate and speed commands using a second control subsystem. The processor may further be programmed to determine an overall steering command for the vehicle based on a combination of the first and second steering angles, and cause an actuator associated with the vehicle to implement the overall steering command.

Disclosed are an apparatus and method for controlling autonomous traveling of an independent driving electric vehicle. An apparatus for controlling autonomous traveling of an independent driving electric vehicle according to one aspect of the present disclosure includes a measurement unit configured to measure traveling information of a vehicle, a steering angle controller configured to calculate a steering angle for following a look ahead point based on path information of the vehicle and the traveling information, and control the vehicle according to the steering angle, and a torque vectoring controller configured to calculate a lateral error and an angular error of the vehicle based on the path information and the traveling information, generate a control moment based on the lateral error and the angular error, and control a motor torque of each motor based on the control moment.

A steering control system adapted for use on a vehicle having two or more wheels each configured to rotate about a rotational axis, at least one of the wheels being a driven wheel and at least one of the wheels being a turning wheel, and an automatic pivot steer mode. The system further comprises a vehicle speed sensor, a steering sensor, a steering control device, a speed control device, and a controller in communication with the speed sensor, the steering sensor, and the speed control device. The controller receives inputs from the speed sensor and the steering sensor and, if both inputs fall within a predetermined range, activates a speed control device thereby altering the rotational speed or direction of at least one of the two or more wheels of the vehicle, reducing the turning radius of the vehicle.

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to receive geoindexed detected vehicle event data from at least one vehicle occurring within a predefined time period, normalize the geoindexed detected vehicle event data according to Global Position System (GPS) data corresponding to a geoindex map, and generate an infrastructure recommendation based on the normalized and aggregated geoindexed detected vehicle event data.