The invention relates to a vehicle (100) with autonomous driving capability, wherein the autonomous vehicle (100) is adapted for at least two different driving modes comprising a first driving mode configured for a first type of autonomous driving and a second driving mode configured for the autonomous vehicle being guided by a pilot vehicle (200) in such a manner that the autonomous vehicle follows the pilot vehicle.

A vehicle control system includes a first detection unit configured to detect an operation of a driving operation element by an occupant, a second detection unit configured to detect a direction of a face or a line of sight of the occupant, and a switching control unit configured to switch an automatic driving mode executed by an automatic driving control unit to one of a plurality of automatic driving modes including a first automatic driving mode and a second automatic driving mode. The switching control unit sets a condition for executing the first automatic driving mode, and sets a condition for executing the second automatic driving mode.

A method for driving a vehicle platoon having a lead vehicle and vehicles following the lead vehicle. The method includes providing first and second modes for driving the lead vehicle, by using a first brake map for the first mode and a second brake map for the second mode for braking the lead vehicle, the first brake map gives a lower brake force on the lead vehicle than the second brake map for equal brake requests; and/or by using a first acceleration map for the first mode and a second acceleration map for the second mode for accelerating the lead vehicle, wherein the first acceleration map gives a lower traction force on the lead vehicle than the second acceleration map for equal acceleration requests, and shifting from the first mode to the second mode when an operator of the lead vehicle has performed a predetermined driving action.

Provided is a vehicle control device configured to: recognize a surrounding situation of a vehicle; control steering and acceleration/deceleration of the vehicle; detect operation states of a plurality of external recognition sensors; determine a driving mode of the vehicle as any one of a plurality of driving modes including a first driving mode, a second driving mode, and a third driving mode; change the third driving mode to either one of the first driving mode and the second driving mode when determining that a failure has occurred in one of the plurality of external recognition sensors that implement: a function of causing the vehicle to follow a preceding vehicle; and a function of assisting the vehicle in keeping a lane; and change the third driving mode to the second driving mode when determining that degradation in performance has occurred in one of the plurality of external recognition sensors.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle by comparing current image data to previously classified image data.

Provided are a switching method of an automatic driving mode, an apparatus, and a readable storage medium. The method includes determining an identity of a user riding an automatic driving device; determining, according to the identity of the user, a target automatic driving mode matched with the identity of the user from multiple pre-stored automatic driving modes; and controlling, according to the target automatic driving mode, the automatic driving device to perform a current automatic driving task. The method can adopt different automatic driving modes to perform a current automatic driving task according to differences of identities of users and provide the users with experiences riding an automatic driving device that are more suited to their requirements.

A system comprises a computer including a processor and a memory, and the memory including instructions such that the processor is programmed to calculate a standard deviation of a plurality of predictions, wherein each prediction of the plurality of predictions is generated by a different deep neural network using sensor data; and determine at least one of a measurement corresponding to an object based on the standard deviation.

Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, a virtual log of data regarding performance of the features in a virtual test environment may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include evasive maneuvers performed by the vehicle under the control of the features. The performance data in the virtual log may be used to determine risk levels associated with vehicle operation by the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle by comparing current image feature data to previously classified image features.

A vehicle control system increases the travel distance of a vehicle by inhibiting reduction in the SOC of a battery even when the output of an engine is limited. The control system is characterized by comprising: an electric motor that drives a vehicle: an engine that drives a power generator that generates electric power to be supplied to the electric motor; a battery that is configured to be chargeable by the power generator and that is electrically connected to the electric motor; and a controller that controls the electric motor.