A mobile body control device adjusts a stop position of the mobile body based on an instruction of a user. The device acquires instruction information for designating a predetermined target and acquires a captured image captured in the mobile body. The device determines a position of the predetermined target from the mobile body as a stop position based on a region of the predetermined target identified in the captured image and control traveling of the mobile body toward the determined stop position. In a case where the predetermined target is not identified in the captured image while the mobile body is traveling toward the stop position, the device updates the stop position determined with respect to the predetermined target according to a motion of the mobile body to control the traveling of the mobile body to the stop position.

In a vehicle control system, a control unit executes a stop process by which the vehicle is parked in a prescribed stop position when it is detected that the control unit or the driver has become incapable of properly maintaining a traveling state of the vehicle, and, in the stop process, if a sidewalk or a road sign is recognized ahead of the vehicle according to a signal from an external environment recognition device, the control unit determines the stop position according to the recognized sidewalk or road sign.

A driving assist system assists driving of a vehicle. A deceleration target includes at least one of a preceding vehicle, a mandatory stop line, a mandatory stop sign, a traffic signal, and a stop line before the traffic signal that exist ahead of the vehicle. A risk factor includes at least one of a pedestrian, a bicycle, a motorcycle, an oncoming vehicle, and a parked vehicle that exist ahead of the vehicle. The driving assist system executes: deceleration assist control that automatically decelerates the vehicle before the deceleration target; and risk avoidance control that automatically performs at least one of steering and deceleration of the vehicle so as to avoid the risk factor. When both the deceleration assist control and the risk avoidance control operate concurrently, the driving assist system notifies a driver of the vehicle of not the deceleration target but the risk factor.

An embodiment of the present invention provides an artificial intelligence apparatus for controlling an auto stop function, including: an input unit configured to receive brake information and velocity information of a vehicle; a storage unit configured to store a control model for the auto stop function; and a processor configured to: acquire driving information comprising the brake information and the velocity information through at the input unit, acquire base data used for determining a control of the auto stop function from the driving information, determine a control mode for the auto stop function by using the base data and the control model for the auto stop function, and control the auto stop function according to the determined control mode, wherein the control mode is one of an activation mode which activates the auto stop function or a deactivation mode which deactivates the auto stop function.

A driving assistance device includes a guide line detecting unit, a remaining distance acquiring unit, and a braking control unit. The guide line includes a base-point mark which is provided at a position which is separated a first distance from the scheduled stop position. The guide line detecting unit detects the base-point mark at a measurement position of a captured image and sets the detected position of the base-point mark at the measurement position of the captured image as the center of the base-point mark in an extending direction of the guide line when the base-point mark is detected at the measurement position of the captured image. The remaining distance acquiring unit acquires the remaining distance on the basis of the position of the base-point mark set by the guide line detecting unit.

A navigation system may include a processor programmed to receive, from a camera of the host vehicle, one or more images captured from an environment of the host vehicle, and analyze the one or more images to detect an indicator of an intersection. The processor may also be programmed to determine, based on output received from at least one sensor of the host vehicle, a stopping location of the host vehicle relative to the detected intersection, and analyze the one or more images to determine an indicator of whether one or more other vehicles are in front of the host vehicle. The processor may further be programmed to send the stopping location of the host vehicle and the indicator of whether one or more other vehicles are in front of the host vehicle to a server for use in updating a road navigation model.

An automatic driving system includes a control device that controls automatic driving of a vehicle, and a storage device that contains external environment information indicating an external environment of the vehicle. A driving transition zone is a zone in which a driver of the vehicle takes over at least a part of driving of the vehicle, from the control device. A termination target velocity is a target velocity of the vehicle at an end point of the driving transition zone. The control device variably sets the termination target velocity, depending on the external environment at the end point or the external environment surrounding the end point. Then, the control device controls the velocity of the vehicle in the driving transition zone, such that the velocity of the vehicle at the end point is the termination target velocity.

It can be estimated accurately whether deceleration is intended to deviate from a scheduled route, and a drive assist can be performed in accordance with the estimated intention. A device includes: a route information acquisition unit configured to acquire route information containing a recommended route for a vehicle to travel to a destination; a deceleration detection unit configured to detect a deceleration operation or deceleration of the vehicle; a deceleration necessity determination result acquisition unit configured to acquire a result of deceleration necessity determination on whether deceleration is necessarily forced, based on a vehicle surrounding environment and the route information; and an estimation unit configured to estimate a prescribed deceleration intension in a case where deceleration of the vehicle or a deceleration operation is detected and the result of deceleration necessity determination indicates that deceleration is unnecessary, and execute processing for a drive assist in accordance with a result of the estimation.

An apparatus for providing a safety strategy in a vehicle is provided. The apparatus includes a sensor configured to sense information about an external object and a control circuit configured to be electrically connected with the sensor. The control circuit is configured to initiate a minimum risk strategy (MRM), when a predetermined condition is met, to determine a lateral location of the vehicle based on information obtained by the sensor and a location of a driving lane of the vehicle on a road, and to move the vehicle to the determined lateral location while executing the MRM.

Systems and methods for controlling a vehicle with respect to an intersection are disclosed. In one embodiment, a method of controlling a vehicle with respect to an intersection, includes determining a distance of the vehicle with respect to the intersection, wherein the intersection includes a traffic light, determining a velocity of the vehicle, and receiving traffic light state information regarding the traffic light. The method also includes calculating, based on the distance of the vehicle to the intersection, the velocity of the vehicle, and the traffic light state information, a zone of interest with respect to the traffic light. The method further includes manipulating the velocity of the vehicle to modify a size of the zone of interest when a current trajectory of the vehicle will cause the vehicle to enter the zone of interest.