An automated drive device that automatically stops a vehicle in a pick-up and drop-off area in which a passenger gets and off the vehicle includes at least one processor and at least one memory that stores a program and information to be read by the at least one processor. The processor is configured to acquire the type of the passenger before the vehicle reaches the pick-up and drop-off area as a first process. The processor is configured to change a behavior for stopping the vehicle in the pick-up and drop-off area in accordance with the type of the passenger as a second process.

The present disclosure relates to technology for controlling a driving speed of a utility vehicle. According to one embodiment, a device includes: a speed sensor that detects the driving speed of the utility vehicle; a wind speed sensor or a data interface that detects a wind speed on or in front of the utility vehicle; a locating unit that locates the utility vehicle on a route travelled by the utility vehicle; and a control unit that controls the driving speed of the utility vehicle according to the detected driving speed, the detected wind speed and a topography ahead of the utility vehicle on the route according to the location. With the topography ahead of the utility vehicle, the controlled driving speed is an increasing function of the detected wind speed in the direction of the driving speed.

A maneuvering assistant system for a vehicle combination comprising an interface configured to receive measurements from a camera, processing circuitry implementing a Kalman filter configured to observe an articulation angle of the vehicle combination on the basis of the measurements from the camera, a signal analyzer configured to repeatedly estimate a signal noise of the camera measurement and to adjust the Kalman filter on the basis of statistics derived from the estimated signal noise, and an assistance unit configured to receive an estimate of the articulation angle from the Kalman filter and provide drive actions based on the estimate.

The present disclosure relates to a method for enabling an autonomous driving mode for a mixed-mode vehicle (200) configured to switch between a manual driving mode and an autonomous driving mode, the method comprising: (S1) determining if a geographical position of the vehicle is within a predetermined launch area (LA), characterized in that the method further comprises: (S2) determining if a vehicle user is present aboard the vehicle or not, and (S3) enabling the autonomous driving mode when at least the two following conditions are determined: the geographical position of the vehicle is within the predetermined launch area and a vehicle user is not present aboard the vehicle. The disclosure further relates to a control unit, to a mixed-mode vehicle, to a computer program and to a computer readable medium carrying a computer program.

The invention relates to a method for maintenance of a vehicle, comprising—determining (S2, S8) the position, in a fixed coordinate system, of at least one first part (2011, 4, 3011) of a vehicle, —characterized by determining (S3) the identity of the vehicle, —retrieving (S4, S10), by means of the vehicle identity, spatial data indicating how a second part (202, 2011, 4) of the vehicle is spatially related to the first part (201), and—determining (S8, S11) the position, in the fixed coordinate system, of the second part (202, 2011, 4) based at least partly on the first part position and the spatial data.

In a method for predicting future driving conditions for a vehicle (1), sensor data (2) are gathered while the vehicle (1) is traveling on a route. A position of the vehicle (1) is also determined. The gathered data are associated with the determined vehicle position. A map (9) is created depending on the associated data. When the route is traveled again, the map is updated in real time depending on associated data from the repeated traveling. Finally, a prediction of future driving conditions is obtained based on the determined vehicle position and the map (9).

The invention relates to a method for a control unit (10) for stopping a vehicle (1) when stopping at different types of stop positions (2, 3, 4), the method comprising the following steps: —(S1) the control unit receiving input about a specific stop position for the vehicle, associated with when the vehicle is about to stop during a stopping sequence, the input being indicative of whether the specific stop position requires a high-precision stop or if a stop with a lower precision can be used; and —(S2) when the stop position requires a high-precision stop, the control unit controlling the stopping sequence such that the vehicle stops with a first stopping precision level with respect to the specific stop position, and when a lower precision can be used for the stop, the control unit controlling the stopping sequence such that the vehicle stops with a second stopping precision level which is lower than the first precision level. The invention further relates to a control unit and to a vehicle comprising the control unit.

An embodiment driving control method includes determining whether a turning section is present ahead along a driving route of a host vehicle, determining a first turning radius with respect to a center of the host vehicle in response to determining that the turning section is present, determining, based on the first turning radius, a second turning radius required to prevent the host vehicle from deviating from a lane to an inside in a turning direction, determining a third turning radius with respect to an inner rear wheel in consideration of an overall width of the host vehicle, and controlling the host vehicle to travel along the driving route or to travel along a corrected route generated by correcting the driving route based on relative sizes of the second turning radius and the third turning radius.

The autonomously driving vehicle is fitted with a GPS unit to which a library of points of interest is assigned, and comprises a human-machine interface that is connected to the GPS unit and which comprises at least one of the following input means for the input of a command for the most immediate possible stopping of the vehicle: a unit for speech input that is connected to the interface, a module for recognizing gestures that is connected to the interface, and a touch-sensitive screen that is connected to the interface.

In various embodiments, while a self-driving model operates a vehicle, a user monitoring subsystem acquires sensor data associated with a user of the vehicle and a vehicle observation subsystem acquires sensor data associated with the vehicle. The user monitoring subsystem computes values for a psychological metric based on the sensor data associated with the user. Based on the values for the psychological metric, a feedback application determines a description of the user over a first time period. The feedback application generates a dataset based on the description and the sensor data associated with the vehicle. Subsequently, a training application performs machine learning operation(s) on the self-driving model based on the dataset to generate a modified self-driving model. Advantageously, the dataset enables the training application to automatically modify the self-driving model to account for the impact different driving actions have on the user.