A management device is configured to manage an operation of a luggage transporting vehicle, the luggage transporting vehicle being configured to autonomously travel a road without a driver being aboard and including a luggage containment part which is shielded by a door part that is able to be opened and closed, the management device including: an acquisition part configured to acquire a first image obtained by imaging a user who unloads luggage from the containment part; and a determination part configured to determine whether delivery of the luggage contained in the containment part has been completed normally on the basis of a result obtained by monitoring a behavior of the user based on the first image.

A vehicle control device includes a driving controller configured to control one or both of steering and acceleration or deceleration of a vehicle; and a mode determiner configured to determine a driving mode of the vehicle to be one of a plurality of driving modes including a first driving mode and a second driving mod, in which the second driving mode is a driving mode in which a task imposed on a driver of the vehicle is lighter than that of the first driving mode and one or both of the steering and the acceleration or deceleration are controlled by the driving controller, and to change the driving mode to the first driving mode on the basis of an operating state of a wiper mounted in the vehicle when the driving controller controls the vehicle in the second driving mode.

A motorized vehicle can include a ground-engaging wheel or propeller, an electric motor that rotates the wheel or propeller, an internal combustion engine, and a generator that produces electrical power in response to operation of the internal combustion engine. The motorized vehicle can include a controller that is configured to selectively supply the electrical power from the generator to a battery and/or the electric motor. A method of operating a motorized vehicle can include inputting journey data to a controller, the journey data including a journey distance and/or a journey destination, and the controller selecting a rotational speed of an internal combustion engine of the motorized vehicle based at least in part on the journey data.

A vehicle security system is provided for a vehicle having a braking system that includes a parking brake, the parking brake being capable of being switched between a driving position and a braking position. The vehicle security system is configured to secure the vehicle after an accident. The vehicle security system comprises a control unit configured to ascertain an accident of the vehicle and to switch the parking brake of the vehicle into the braking position in response to ascertaining an accident of the vehicle, and a sensor configured to capture and make available first vehicle data that represent a rotary location of the vehicle. The control unit is configured to carry out the ascertainment of an accident on the basis of the first vehicle data.

Vehicles may be composed of a relatively few number of “modules” that are assembled together during a final assembly process. An example vehicle may include a body module, a first drive module coupled to a first end of the body module, and a second drive module coupled to a second end of the body module. One or both of the drive modules may include a pair of wheels, a battery, an electric drive motor, and/or a heating ventilation and air conditioning (HVAC) system. One or both of the drive modules may also include a crash structure to absorb impacts. If a component of a drive module fails or is damaged, the drive module can be quickly and easily replaced with a new drive module, minimizing vehicle down time.

A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

A vehicle and method for vehicle noise reduction for vehicle occupants are provided. The method comprises detecting a position of a window of the vehicle; and controlling the duty of an operational component of the vehicle based on the position of the window of the vehicle and at least one of: a speed of the vehicle, and a presence of a sound-reflecting structure proximate to the vehicle; wherein the operational component is external to a cabin of the vehicle; and wherein noise generated by the operational component increases with a duty of the operational component.

A system and method for operating a vehicle to mitigate vision obstructions includes collecting data on potential vision obstructions in a sightline of an operator of a vehicle, determining, based on the data, that a vision obstruction has occurred or is about to occur, and actuating a corrective measure in the vehicle. Collected data may include camera data from inside the vehicle and estimated environmental conditions, and the collected data may be used to disable the ADAS based on a detected or impending vision obstruction.

Techniques relating to training a model for detecting that a vehicle is likely to perform a cut-in maneuver are described. Computing device(s) can receive log data associated with vehicles in an environment and can detect an event in the log data, wherein an event corresponds to a cut-in maneuver performed by a vehicle. In an example, the computing device(s) can generate training data based at least in part on converting a portion of the log data that corresponds to the event into a top-down representation of the environment and inputting the training data into a model, wherein the model is trained to output an indication of whether another vehicle is likely to perform another cut-in maneuver.

An apparatus for improving the sound of a vehicle according to one embodiment of the present invention, may comprise: a window open/closed detection sensor for detecting the open/closed state of a window of the vehicle; a car door open/closed detection sensor for detecting the open/closed state of a car door of the vehicle; a speed sensor for measuring the speed of the vehicle; a microphone; a memory; and a processor for adjusting a coefficient of an adaptive filter used for an engine order cancellation (EOC) function, on the basis of the opened degree of the window and the speed, when the car door is closed, the window is open, and the magnitude of noise inputted to the microphone is less than or equal to a threshold magnitude.