The present disclosure relates to user settings on a vehicle. More particularly, this disclosure describes a driver profile reset system and methods thereof to remove those user settings. In an illustrative embodiment, a driver may be presented with a pin pad on a head unit display. The user may enter their pin thereon. The system may authenticate it to enable user settings on the vehicle. Thereafter, the user settings may be removed or wiped from the system to prevent access to such information. The setting, for example, may be removed after the driver unbuckles their seatbelt and opens their door.

An infrastructure is provided for improving the safety of autonomous systems. An autonomous vehicle management system (AVMS) controls one or more autonomous functions or operations performed by a vehicle or machine such that the autonomous operations are performed in a safe manner. The AVMS is capable of dynamically controlling the behavior of sensors associated with a vehicle. For example, for a sensor, the AVMS can dynamically change and control what sensor data is captured by the sensor and/or communicated from the sensor to the AVMS (e.g., granularity/resolution, field of view, control zoom), when the data is captured by the sensor and/or communicated by the sensor to the AVMS (e.g., on-demand, according to a schedule), and how the data is captured by the sensor and/or communicated from the sensor to the AVMS (e.g., communication format, communication protocol, rate of data communication).

The control device, which operates due to a processor executing an object-oriented program, backs-up, to a storing section, respective first combinations of elements of a first object in which class structure relating to an application program is defined, and respective second combinations of elements of a second object in which class structure relating to a storage region used by an application program is defined. In a case in which generation of an object is necessary when the program is started, for the first object, the control device reads-out the respective first combinations from the storing section and generates the first object, and, for the second object, the control device reads-out the respective second combinations from the storing section and generates the second object.

Tailgate position management systems and methods are disclosed herein. An example method includes determining that a tailgate of a vehicle is in a down position, the tailgate comprising a tailgate camera, and selectively adjusting an automatic vehicle assistance feature of the vehicle based on the tailgate being in the down position.

Vehicle alert and control systems and methods taking into account a detected road friction at a following vehicle and a predicted road friction by the following vehicle. The detected road friction between the following vehicle tires and the road surface may be assessed using a variety of methodologies and is used to compute a critical safety distance between the following vehicle and the preceding vehicle and a critical safety speed of the following vehicle. The predicted road friction ahead of the following vehicle may also be assessed using a variety of methodologies (lidar, camera, and cloud-based examples are provided) and is used to compute a warning safety distance between the following vehicle and the preceding vehicle and a warning safety speed of the following vehicle. These functionalities may be applied to vehicle/stationary object warning and response scenarios as well.

This disclosure is directed to calibrating sensors mounted on an autonomous vehicle. A dense depth map can be generated in a two-dimensional camera space using point cloud data generated by one of the sensors. Image data from another of the sensors can be compared to the dense depth map in the two-dimensional camera space. Differences determined by the comparison can indicate alignment errors between the sensors. Calibration data associated with the errors can be determined and used to calibrate the sensors without the need for calibration infrastructure.

Redundant vehicle controls based on user presence and position are disclosed herein. A method can include determining a presence and a position of a driver in a sensing zone of a vehicle using a sensor platform integrated into the vehicle. The sensing zone is associated with a primary driving interface of the vehicle. Determining when the position of the driver indicates that the driver is not in a fully-seated position relative to a driver's seat of the vehicle, and that the vehicle is in a non-seated drive mode where the driver is permitted to operate the vehicle while not being in the fully-seated position. Activating a secondary driving interface of the vehicle when the driver is not in a fully-seated position and the vehicle is in the selected driving mode. The secondary driving interface can be used in combination with the primary driving interface.

This application is directed to on-vehicle behavior modeling of vehicles. A vehicle has one or more processors, memory, a plurality of sensors, and a vehicle control system. The vehicle collects training data via the plurality of sensors, and the training data include data for one or more vehicles during a collection period. The vehicle locally applies machine learning to train a vehicle driving behavior model using the collected training data. The vehicle driving behavior model is configured to predict a behavior of one or more vehicles. The vehicle subsequently collecting sensor data from the plurality of sensors and drives the vehicle by applying the vehicle driving behavior model to predict vehicle behavior based on the collected sensor data. The vehicle driving behavior model is configured to predict behavior of an ego vehicle and/or a distinct vehicle that appears near the ego vehicle.

A method for controlling an approach of a driving vehicle to at least one preceding reference vehicle using an automated distance setting as a function of a setpoint distance between the vehicle and the reference vehicle. The setpoint distance is calculated as a function of an operating position of an operating element of the vehicle, which is actuatable by the driver of the vehicle and controls a drive of the vehicle. The setpoint distance being reduced directly or indirectly by actuating an actuating element of the vehicle, which has an actuating position, is actuatable by the driver of the vehicle, and controls a braking deceleration of the vehicle. A distance control system, a computer program, and a memory unit, as also described.

A control unit of an information processing device is configured to perform selecting a first vehicle that is to download first data in place of a second vehicle while the first vehicle is traveling and instructing the first vehicle to download the first data in place of the second vehicle while the first vehicle is traveling and to transmit the first data to the second vehicle. The control unit is configured to select the first vehicle that is to download the first data out of a plurality of vehicles in place of the second vehicle based on a data rate on a scheduled travel route.