An electronic instrument includes a first distance information acquisition unit acquiring first distance information corresponding to an object included in an image signal, at least one of a second distance information acquisition unit acquiring second distance information on the basis of at least one of information of an end position of the object included in the image signal and a third distance information acquisition unit configured to acquire third distance information based on information of a size of the object included in the image signal, and a distance information integration unit generating integrated distance information by combining and integrating at least two of the first distance information, the second distance information, and the third distance information.

A vehicle control device includes an external situation recognition unit configured to recognize an external situation around a vehicle to recognize a traffic participant, an action schedule acquisition unit configured to acquire a first action schedule of the vehicle, an action schedule notification unit configured to notify a terminal possessed by the traffic participant of the first action schedule of the vehicle to request an approval of the first action schedule, a receiver configured to receive the approval of the first action schedule from the terminal; and an execution controller configured to execute an operation of the vehicle in accordance with the first action schedule when the receiver receives the approval of the first action schedule from the terminal and to suppress the operation of the vehicle in accordance with the first action schedule when the receiver does not receive the approval of the first action schedule from the terminal.

Aspects of the present disclosure relate switching between autonomous and manual driving modes. In order to do so, the vehicle's computer may conduct a series of environmental, system, and driver checks to identify certain conditions. The computer may correct some of these conditions and also provide a driver with a checklist of tasks for completion. Once the tasks have been completed and the conditions are changed, the computer may allow the driver to switch from the manual to the autonomous driving mode. The computer may also make a determination, under certain conditions, that it would be detrimental to the driver's safety or comfort to make a switch from the autonomous driving mode to the manual driving mode.

A system for notifying emergency services of a vehicular crash may (i) receive sensor data of a vehicular crash from at least one mobile device associated with a user; (ii) generate a scenario model of the vehicular crash based upon the received sensor data; (iii) store the scenario model; and/or (iv) transmit a message to one or more emergency services based upon the scenario model. As a result, the speed and accuracy of deploying emergency services to the vehicular crash location is increased. The system may also utilize vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle features, and/or generate virtual reconstructions of the vehicle collision.

Systems and methods for determining an attention level of an occupant of a vehicle are provided. For example, a method for determining an attention level of an occupant of a vehicle includes receiving sensor data associated with an occupant of a vehicle traveling along a road segment. The method also includes based on the sensor data, determining an attention level of the occupant corresponding to the road segment. The method also includes encoding the attention level in a database to facilitate one or more aspects of vehicle operation for vehicles travelling along the road segment.

A method may include receiving sensor data of a sensor associated with a vehicle occupied by a user, the sensor data indicating that the vehicle is involved in an accident. The method may further include determining one or more potential injuries sustained by occupants of the vehicle during the accident and transmitting an indication of the one or more injuries to a mobile device of the user. Still further, the method may including prompting the user to provide a response confirming or modifying the one or more potential injuries and updating the one or more potential injuries based on the response. The method may also include generating at least one insurance claim form for the accident based on the one or more potential injuries.

A vehicular driving assistance system is operable to control driving of a vehicle when operating in a driving assist mode. When the vehicular driving assistance system is not operating in the driving assist mode, a driver controls driving of the vehicle. The system identifies the driver and receives information pertaining to operation by the identified driver of the vehicle while the vehicle is driven by the identified driver. The system generates first and second personalized parameter sets for the identified driver when the driver drives the vehicle during respective first and second driving conditions. When the system is operating in the driving assist mode and the identified driver is present in the vehicle, and responsive to a current driving condition of the vehicle corresponding to one of the determined driving conditions, the system controls the vehicle in accordance with the respective generated personalized parameter set for that driving condition.

A vehicle system includes an electronic control unit. The electronic control unit is configured to execute a first program, a second program, and a third program. The first program is configured to recognize an object present around a vehicle, the second program is configured to store information related to the recognized object as time-series map data, and the third program is configured to predict a future position of the object based on the stored time-series map data. The first program and the third program are configured to be (i) first, individually optimized based on first training data corresponding to output of the first program and second training data corresponding to output of the third program, and (ii) then, collectively optimized based on the second training data corresponding to the output of the third program.

A system includes autonomous vehicle and an oversight server. The oversight server obtains road condition data associated with a road ahead of the autonomous vehicle. The oversight server obtains status data from the autonomous vehicle. The oversight server determines that a routing plan of the autonomous vehicle should be updated based on the road condition data and the status data in response to determining an unexpected anomaly in one or both of the road condition data and the status data. The unexpected anomaly includes one or more of a severe weather event, a traffic event, a road block, and a service that needed to be provided to the autonomous vehicle. The oversight server communicates the updated routing plan to the autonomous vehicle while the autonomous vehicle is autonomously driving along the road.

A control system for a vehicle contains a computing unit having first and second subunits. The first subunit has a first interface for receiving first sensor data, a processor for performing first control functions, and a first connection unit for transmitting the first sensor data to the first processor. The second subunit has a second interface for receiving second sensor data, a second processor for performing second control functions, and a second connection unit for transmitting the second sensor data to the second processor. The first connection unit has a first data exchange block and the second connection unit has a second data exchange block. The first data exchange block transmits the first sensor data to the second data exchange block, and the second data exchange block transmits the first sensor data to the second processor. The second processor performs the second control functions based on the first sensor data.