A driving assist apparatus of a vehicle of the invention sets a predicted route predicted for the vehicle to move and performs an attention operation to a driver when a time predicted for the vehicle to reach a point where a moving object crosses the predicted route is smaller than or equal to a threshold time. The apparatus predicts a radius of a route predicted for the vehicle to move as a left turn radius when the vehicle turns left and sets a route curved along an arc having the left turn radius as the predicted route. The apparatus predicts the radius of the route predicted for the vehicle to move as a right turn radius when the vehicle turns right and sets the route curved along the arc having the right turn radius as the predicted route.

Provided is a vehicle seat apparatus for a vehicle capable of executing a manual steering mode in which a vehicle occupant steers the vehicle by using a steering device and an automatic steering mode in which steering of the vehicle is controlled without intervention of the occupant. The vehicle seat apparatus includes a seat back, an arm rest, and a controller. The seat back is configured to support a back of the occupant. The arm rest is configured to support an arm of the occupant. The controller is configured to moves at least one of the seat hack and the arm rest. During a transition period of the vehicle from the automatic steering mode to the manual steering mode, the controller performs control to move the seat back in a direction to raise the seat back and performs control to move at least a portion of the arm rest forward.

A drive assist device includes a determiner and a display controller. The determiner determines a parameter related to a current driving state of a vehicle. The display controller controls display of a display object that moves in response to operation of a steering wheel, and controls a movement of the display object with respect to a movement of the steering wheel, in accordance with a magnitude of the parameter.

Technical solutions are described for estimating handwheel angle of a steering wheel of a vehicle based on road wheel rotational speed data. In one or more examples, the technical solutions are used when the vehicle does not have a sensor to measure the handwheel angle, or if the handwheel angle sensor is faulted and unable to provide data on the actual handwheel angle.

A work vehicle includes a plurality of traveling devices for driving traveling, a plurality of articulated link mechanisms having at least two or more joints and supporting the plurality of traveling devices to a vehicle body, with allowing the plurality of traveling devices to be elevated/lowered independently of each other, a driving mechanism capable of changing respective postures of the plurality of articulated link mechanisms independently of each other, and a plurality of turning mechanisms configured to support the respective plurality of the articulated link mechanisms, with allowing the link mechanisms to be orientation-changeable about a vertical axis.

A work vehicle includes a plurality of traveling devices for driving traveling, a plurality of articulated link mechanisms having at least two or more joints and supporting the plurality of traveling devices to a vehicle body, with allowing the plurality of traveling devices to be elevated/lowered independently of each other, a driving mechanism capable of changing respective postures of the plurality of articulated link mechanisms independently of each other, and a plurality of turning mechanisms configured to support the respective plurality of the articulated link mechanisms, with allowing the link mechanisms to be orientation-changeable about a vertical axis.

A method, apparatus, and computer program for localizing a motor vehicle including transmitting via a wireless communication network configured within a parking lot, for a predetermined motor vehicle, a request that the predetermined motor vehicle carry out a predetermined action. After transmission of the request, a check whether a motor vehicle located within the parking lot is carrying out or has carried out the predetermined action. If the result of the check is that a motor vehicle located within the parking lot is carrying out or has carried out the predetermined action, the motor vehicle is authenticated as the predetermined motor vehicle and the predetermined motor vehicle is localized at a current position of the motor vehicle.

Embodiments can provide an intelligent vehicle that determines that the vehicle interior comprises multiple occupants; identifies the occupants; based on the driving behavior of the vehicle, creates a composite occupant profile associated with the group of plural occupants, the composite occupant profile comprising the identities of the plural occupants and group preferences for various vendor products or services; and, based on the composite occupant profile and received inputs from a user interface, an automatic vehicle location system, and a plurality of sensors in the vehicle, performs one or more actions, such as: (a) proposing one or more vendor products or services for the group of occupants; (b) publishing the vendor products or services selected by the group of occupants, via a social network, to associated or selected associates of the occupants in the group; and (c) presenting advertisement information from a vendor server associated with the proposed or selected vendor products or services to one or more of the occupants in the group.

Embodiments can provide an intelligent vehicle that determines that the vehicle interior comprises multiple occupants; identifies the occupants; based on the driving behavior of the vehicle, creates a composite occupant profile associated with the group of plural occupants, the composite occupant profile comprising the identities of the plural occupants and group preferences for various vendor products or services; and, based on the composite occupant profile and received inputs from a user interface, an automatic vehicle location system, and a plurality of sensors in the vehicle, performs one or more actions, such as: (a) proposing one or more vendor products or services for the group of occupants; (b) publishing the vendor products or services selected by the group of occupants, via a social network, to associated or selected associates of the occupants in the group; and (c) presenting advertisement information from a vendor server associated with the proposed or selected vendor products or services to one or more of the occupants in the group.

Embodiments herein relate to an autonomous vehicle or self-driving vehicle. The system can determine a collision avoidance path by: 1) predicting the behavior/trajectory of other moving objects (and identifying stationary objects); 2) given the driving trajectory (issued by autonomous driving system) or predicted driving trajectory (human), establishing the probability for a collision that can be calculated between the vehicle and one or more objects; and 3) finding a path to minimize the collision probability.