Systems, methods, and computer-readable media are disclosed for optimized driver seat and pedal positioning using ulna length. An example method may include determining, at a first time and using a sensor of a vehicle, an ulna length of a vehicle user. The example method may also include automatically adjusting a seating position of the vehicle user to a first seating position based on the ulna length of the vehicle user.

A system for user interaction with an automated device includes a control system configured to operate the device during an operating mode corresponding to a first state in which the control system automatically controls the device operation, and the operating mode prescribes that a user monitor the device operation during automated control. The control system is configured to allocate a time period for the device to transition to a temporary state in which automated control is maintained and the user is permitted to stop monitoring and perform a task unrelated to device operation. The system includes a user interaction system including a visual display configured to present trajectory information, an indication as to whether an area is conducive to putting the device in the temporary state, and time period allocation information, the user interaction system including an interface engageable by the user to manage scheduling of allocated time period(s).

A parking assist system for a vehicle includes an environment information obtainer, a storage, a parked vehicle detector, a space determiner, and a parking possibility determiner. The storage stores a reference parking width to be used for parking the vehicle. The parked vehicle detector detects a parked vehicle. The space determiner compares a width of a space next to the parked vehicle with the reference parking width and determines whether the width of the space is greater than or equal to the reference parking width. If the width of the space is found to be greater than or equal to the reference parking width, the parking possibility determiner determines whether a target object is detected at a back side of the space. If the target object is not detected, the parking possibility determiner determines that parking in the space is prohibited.

A parking assist system for a vehicle includes an environment information obtainer, a sufficient parking space setter, a parked-vehicle inter-space calculator, a parking capable space setter, and a parking assister. The environment information obtainer obtains environment information around the vehicle. The sufficient parking space setter sets a sufficient parking space for the vehicle by including a parking allowance width on each of left and right sides of the vehicle. The parked-vehicle inter-space calculator calculates a space between parked vehicles, based on the obtained environment information. The parking capable space setter compares the space between the parked vehicles with the sufficient parking space and, when determining the space between the parked vehicles is greater than or equal to the sufficient parking space, sets the space between the parked vehicles to be a parking capable space. The parking assister guides the vehicle to the parking capable space.

An information processing apparatus detects occurrence of a request to switch to manual driving during autonomous driving control of a first vehicle, acquires an utterance of a driver in a case where there is occurrence of the request to switch to manual driving, and presents, to the driver, a part of an explanation about a reason for occurrence of the request to switch to manual driving according to the utterance of the driver.

A method performed by a control unit for handling safe stop mode of a vehicle. The control unit obtains an activation request for activating the safe stop mode. When the activation request has been obtained, the control unit verifies that all safety conditions of the vehicle are fulfilled. The control unit activates the safe stop mode when the activation request has been obtained and when all safety conditions are fulfilled. The control unit triggers at least one light source to be turned on when all safety conditions are fulfilled. After the safe stop mode has been activated, the control unit obtains an inactivation request for inactivating the safe stop mode of the vehicle. The control unit inactivates the safe stop mode of the vehicle when the inactivation request has been obtained.

Embodiments of the present disclosure are directed to switching a driving mode of a vehicle. A mode change request from one of a plurality of sources to switch the vehicle from a first driving mode to a second driving mode is received. In response to receiving the mode change request, a status of the vehicle is accessed, and a confirmation request is transmitted to the one of the plurality of sources. Verification of the confirmation request is made, and a driving transition mode is initialized from the first driving mode to the second driving mode based on the status of the vehicle. In response to adhering to safety conditions or safety boundaries within a duration of time, a switching signal is sent to the control system of the vehicle to switch the vehicle from the first driving mode to the second driving mode.

An automated method of controlling a speed of a vehicle includes identifying parameters of a driving instance of the vehicle; identifying a predetermined profile that is applicable to the driving instance based on the identified parameters; identifying a predetermined speed policy applicable to the driving instance based on the identified profile; and implementing the identified speed policy during the driving instance. The method may be repeated during the driving instance, whereby the speed policy that is implemented is automatically updated when one or more changes in the identified parameters cause a different predetermined speed policy to be identified. Parameter may include driver parameters (e.g., driver age and driver experience); vehicle parameters (e.g., vehicle age, mileage, and tire wear) tire maintenance information); behavior parameters (e.g., speed, acceleration, hard braking of the vehicle, following distance, swerving, and cornering); and circumstance parameters (e.g., time of day, road information, inclement weather, and traffic congestion).

In an autonomous driving method, a health physiological data range is added to an operational design domain (ODD) deployed on an autonomous driving system (ADS) as an applicable range of the ODD. The ADS receives real-time physiological data of a driver/passenger collected by a monitoring device. When a difference between the real-time physiological data and a health physiological data range is greater than a preset value, and a duration in which the real-time physiological data deviates from the health physiological data range is greater than a first preset duration, the ADS degrades an autonomous driving service being executed by an autonomous driving vehicle, and executing a first driving policy based on the difference and the duration.

A regenerative braking control system of an AWD (all-wheel-drive) hybrid vehicle including a front wheel HEV (hybrid electric vehicle) powertrain and a rear wheel EV (electric vehicle) powertrain is provided. The control system includes a manipulating instrument mounted to a steering wheel for manual shifting and regenerative braking control by a driver's manipulation, and a controller for adjusting a regenerative braking amount and controlling a shift pattern of each of a front wheel motor of the front wheel HEV powertrain and a rear wheel motor of the rear wheel EV powertrain by receiving a (−) or (+) manipulation signal or a hold manipulation signal of the manipulating instrument.