An object detection section detects an object that is present in surroundings. A transmission section broadcasts a request signal requesting information regarding an object that has not been detected by the object detection section. A reception section receives a response signal in response to transmission of the request signal, the response signal including the information regarding the object that has not been detected by the object detection section. For example, a display control section controls display of a surrounding environment on the basis of information regarding positions and attributes of a predetermined number of objects detected by the object detection section and controls update of the display of the surrounding environment on the basis of information regarding a position and an attribute of the object that is included in the response signal and that has not been detected by the object detection section.

Aspects of the disclosure relate to detecting and responding to malfunctioning traffic signals for a vehicle having an autonomous driving mode. For instance, information identifying a detected state of a traffic signal for an intersection. An anomaly for the traffic signal may be detected based on the detected state and prestored information about expected states of the traffic signal. The vehicle may be controlled in the autonomous driving mode based on the detected anomaly.

Among other things, information is received that identifies or defines a function-related feature of an environment of a vehicle. Function-related information is generated that corresponds to the function-related feature.

Methods and systems for autonomous vehicle recharging or refueling are disclosed. Autonomous electric vehicles may be automatically recharged by routing the vehicles to available charging stations when not in operation, according to methods described herein. A charge level of the battery of an autonomous electric vehicle may be monitored until it reaches a recharging threshold, at which point an on-board computer may generate a predicted use profile for the vehicle. Based upon the predicted use profile, a time and location for the vehicle to recharge may be determined. In some embodiments, the vehicle may be controlled to automatically travel to a charging station, recharge the battery, and return to its starting location in order to recharge when not in use.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicle and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the condition of components for salvage following a collision or other loss-event. To this end, the information regarding a plurality of components may be received. A component of the plurality of components may be identified for assessment. Assessment may including causing test signals to be sent to the identified component. In response to the test signal, one or more responses may be received. The received response may be compared to an expected response to determine whether the identified component is salvageable.

A vehicular control system for controlling a vehicle includes a vehicle control, an acceleration sensor and a camera. The vehicle control includes an image processor for processing image data captured by the camera as the vehicle is driven along a route by a driver of the vehicle. The vehicle control detects traffic and road topography and determines acceleration of the vehicle as the vehicle is driven along the route by the driver. The vehicle control learns the route during multiple repetitive drives of the route by the driver of the vehicle. The vehicle control increases a confidence level of the learned route during multiple repetitive drives of the route by the vehicle. When the confidence level exceeds a threshold value, the vehicle control is operable to at least semi-autonomously control the vehicle to drive the vehicle along the route.

An apparatus for operating a pedestrian detection and collision mitigation system (PDCMS) function of a vehicle includes: a front detection sensor detecting a presence of a pedestrian on a driving lane of the vehicle and a distance and a relative speed between the pedestrian and the vehicle; a vehicle sensor detecting a speed of the vehicle; an electronic control unit operating a PDCMS function based on information detected by the front detection sensor and the vehicle sensor; and a warning unit operated to inform a driver of a collision of the pedestrian with the vehicle by a control of the electronic control unit.

Methods and systems for autonomous and semi-autonomous vehicle control relating to malfunctions are disclosed. Malfunctioning sensors or software of autonomous vehicles may be identified from operating data of the vehicle, and a component maintenance requirement status associated with such malfunctioning component may be generated. Based upon such status, usage restrictions may be enacted to limit operation of the vehicle while the component is malfunctioning. This may include disabling or restricting use of certain autonomous or semi-autonomous features of the vehicle until the component is repaired or replaced. Repair may be accomplished by automatically scheduling repair of the vehicle or installing an updated or uncorrupted version of a software program, in various embodiments.

An autonomous driving vehicle includes a user detection monitoring device and a start control device. The user detection monitoring device detects a user who got out of the autonomous driving vehicle after the autonomous driving vehicle stopped at a destination as an alighted user and monitors the alighted user. The start control device maintains a stopped state of the autonomous driving vehicle after the alighted user was detected until a start condition is satisfied and, if the start condition is satisfied, permits a start of the autonomous driving vehicle. The start condition is one of a condition indicating that the alighted user at least moves out of a movement determination area around the autonomous driving vehicle and a condition indicating that the alighted user is present in the movement determination area but remains at the same position for a certain period of time or longer.

The disclosed image processing apparatus (10) includes a communication interface (12) and a processor (13). The processor (13) detects an image of an object from a surrounding image capturing the surroundings of a moveable body (1) and determines an action of the moveable body (1) based on the state of the detected object. The communication interface (12) outputs, to the moveable body (1), an instruction to perform the determined action. The processor (14) determines a first action of the moveable body (1) based on the state of the object detected from the surrounding image and outputs an instruction to perform the determined first action to the moveable body (1) via the communication interface (12). The processor (14) determines a second action of the moveable body (1) based on the state of the object detected from the surrounding image after the first action by the moveable body (1).