In various examples, systems and methods are disclosed that accurately identify driver and passenger in-cabin activities that may indicate a biomechanical distraction that prevents a driver from being fully engaged in driving a vehicle. In particular, image data representative of an image of an occupant of a vehicle may be applied to one or more deep neural networks (DNNs). Using the DNNs, data indicative of key point locations corresponding to the occupant may be computed, a shape and/or a volume corresponding to the occupant may be reconstructed, a position and size of the occupant may be estimated, hand gesture activities may be classified, and/or body postures or poses may be classified. These determinations may be used to determine operations or settings for the vehicle to increase not only the safety of the occupants, but also of surrounding motorists, bicyclists, and pedestrians.

In various examples, systems and methods are disclosed that accurately identify driver and passenger in-cabin activities that may indicate a biomechanical distraction that prevents a driver from being fully engaged in driving a vehicle. In particular, image data representative of an image of an occupant of a vehicle may be applied to one or more deep neural networks (DNNs). Using the DNNs, data indicative of key point locations corresponding to the occupant may be computed, a shape and/or a volume corresponding to the occupant may be reconstructed, a position and size of the occupant may be estimated, hand gesture activities may be classified, and/or body postures or poses may be classified. These determinations may be used to determine operations or settings for the vehicle to increase not only the safety of the occupants, but also of surrounding motorists, bicyclists, and pedestrians.

A controller for use with autonomous vehicle functions comprises an input for receiving data regarding a set of vehicle factors, an output for controlling autonomous vehicle functions and a processor having control logic. The control logic receives data regarding the set of vehicle factors, sets the autonomous vehicle functions in a first mode when at least two of the vehicle factors meet a respective first condition and sets the autonomous vehicle functions in second mode when at least one of the vehicle factors meets a respective second condition.

The invention ensures a proper vehicle attitude even if a friction coefficient of a contacted road surface with respect to wheels is small. A driving assist device obtains a first moment that is a moment necessary for an subject vehicle to follow a running course, on the basis of information about a running coursed of an subject vehicle, which is obtained on the basis of external environment information of the subject vehicle, which is acquired by an external environment recognition portion, a first physical quantity associated with a motion state of the subject vehicle, which is inputted by a vehicle motion state detection sensor, and specifications of the subject vehicle, further obtains a second moment that is a moment that can be generated in the subject vehicle on the basis of a friction coefficient of a contacted road surface with respect to the wheels of the subject vehicle, which is acquired by a road surface condition acquisition portion, and a second physical quantity associated with a motion state of the subject vehicle, which is inputted by the vehicle motion state detection sensor, and outputs to a braking control device a command to implement control for making a braking force generated in rear wheels of the wheels greater than a braking force generated in front wheels when the second moment is smaller than the first moment.

A motor-driven vehicle includes a power storage device and a control device configured to perform a restraint process for restraining progress of deterioration of the power storage device when a parameter falls outside a predetermined range. The control device sets the predetermined range to be narrower when a second mode in which a person other than an owner of the vehicle serves as a user is set as an operation mode than when a first mode in which the owner serves as the user is set as the operation mode.

A vehicle control device includes a first inputter, a second inputter, a mode controller configured to, when the first inputter is operated by a user, determine a driving mode of a vehicle as a first mode, and when the second inputter is operated by the user in the first mode, switch the driving mode from the first mode to a second mode, and a driving controller configured to control at least one of a steering and speed of the vehicle, and the driving controller is configured to control a steering and speed of the vehicle and prohibit change of a path of the vehicle when the driving mode is the first mode, and control a steering and speed of the vehicle and change of the path of the vehicle is allowed when the driving mode is the second mode.

A method for assisting a transportation vehicle occupant located in a transportation vehicle wherein user information regarding the behavior and/or the state of a transportation vehicle occupant and transportation vehicle parameters of the transportation vehicle are gathered. The gathered user information and transportation vehicle parameters are combined and jointly analyzed and at least one behavior pattern of the transportation vehicle occupant is determined from the jointly analyzed user information and transportation vehicle parameters. The behavior pattern is stored together with the user information. In a subsequent gathering of user information, this user information is compared with the user information behavior pattern previously stored. When there is conformance with the behavior pattern, a transportation vehicle function is automatically carried out.

There is presented a method for controlling an activation threshold of a safety system of a vehicle. The method comprises receiving map data from a remote data repository, said map data comprising a geographical location of a dynamic object located in a surrounding area of an expected path of the vehicle, determining a geographical location of the vehicle by means of a localization system of the vehicle, and lowering an activation threshold value of the safety system when the geographical location of the vehicle is within a predefined distance from the dynamic object. The presented method provides for an efficient means for preparing e.g. an emergency brake assist system of a vehicle in potentially critical situations.

The present disclosure relates to systems and methods for host vehicle navigation. Disclosed systems and methods may receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify at least one pedestrian in the environment of the host vehicle; identify eyes of the at least one pedestrian represented in at least one of the plurality of images; and determine, based on analysis of the at least one of the plurality of images and based on the identification of the eyes of the at least one pedestrian in the at least one of the plurality of images, a looking direction of the at least one pedestrian.

A vehicular medical assistant configured to access a medical data store of interrelated diagnostic data, medical conditions, and mitigation actions. The vehicular medical assistant detects a medical event based on the medical data store and a set of data associated with the passenger. The set of data associated with the passenger can include biometric data, aural data, visual data, and environmental data. The vehicular medical assistant can implement a mitigation action in response to detecting the medical event. The mitigation action can include interacting with the passenger and/or modifying the vehicle.