A parking assistance system for assisting parking of a vehicle includes: an autonomous driving vehicle configured to perform automatic driving from a drop off area in a parking lot to a parking position upon receiving a parking start instruction; a management device configured to manage entering and exiting of the autonomous driving vehicle; and a fixed terminal device installed in the drop off area, the fixed terminal device being operable by a user of the autonomous driving vehicle. The management device includes an intention acquiring unit configured to acquire a parking intention input by the user; an inspection executing unit configured to execute an inspection on the autonomous driving vehicle; an operation requesting unit configured to request the user to perform a predetermined operation through the fixed terminal device; and an instruction transmitting unit configured to transmit the parking start instruction to the autonomous driving vehicle.

Systems and methods for adjusting one or more component of a vehicle are disclosed herein. In an embodiment, a system for adjusting one or more component of a vehicle includes at least one adjustable vehicle component, an authentication device, an audio device, and a controller. The authentication device is configured to detect a vehicle user outside of the vehicle and generate corresponding authentication data. The audio device is configured to receive an audible command from the vehicle user from outside of the vehicle and generate corresponding command data. The controller is programmed to cause an adjustment of the at least one adjustable vehicle component based on the command data when the vehicle user has been authenticated based on the authentication data.

An apparatus for controlling autonomous parking and method thereof are provided. The apparatus for controlling autonomous parking according to an exemplary embodiment of the present disclosure a sensor unit for acquiring information around a host vehicle, a storage for storing driver's tendency information upon autonomous parking, and a controller communicatively connected to the sensor unit. Here, the controller is configured to: search for an available parking space based on the acquired information around the vehicle, determine whether the available parking space is next to a pillar, determine whether a passenger exists on the side of the pillar when parking in the available parking space, set a parking target position based on the driver's tendency information when the passenger gets off and set a parking longitudinal offset so that a door and a side mirror of the vehicle do not interfere with the pillar, and perform autonomous parking by varying the parking target position according to the offset set above.

There is provided an electrically driven vehicle used for a car sharing system and configured to appropriately increase the temperature of a power storage device. The electrically driven vehicle used for the car sharing system is provided with a power storage device and a temperature raising device configured to increase temperature of the power storage device. When a user operates a communication device to make a direct reservation or an indirect reservation of the electrically driven vehicle for driving, the electrically driven vehicle estimates a driving start time of the vehicle, based on the position of the communication device, sets a temperature-rising start time of the power storage device, based on the temperature of the power storage device and the estimated driving start time, and controls the temperature raising device to start a temperature increase of the power storage device at the set temperature-rising start time.

A computer implemented method for controlling at least one driven and/or braked wheel of a heavy-duty vehicle. The method includes obtaining a motion request indicative of a desired longitudinal acceleration and/or longitudinal force associated with the vehicle, and configuring a wheel slip limit value indicative of a maximum allowable wheel slip by the at least one driven and/or braked wheel at a nominal value, and increasing the wheel slip limit value from the nominal value to a boost wheel slip value in response to detecting a boost signal, as well as controlling the at least one driven and/or braked wheel in dependence of the motion request and subject to the wheel slip limit value.

Disclosed embodiments include systems, vehicles, and computer-implemented methods for selectively restricting a performance attribute of a vehicle for an operator or group of operators. In an illustrative embodiment, a computing device includes a processor and computer-readable media configured to store computer-executable instructions configured to cause the processor to: identify an operating credential associated with an operator of a vehicle; determine a performance mode associated with the operating credential; and restrict at least one performance attribute of the vehicle in accordance with the performance mode.

The disclosure includes embodiments for pedestrian navigation by a group of connected vehicles executing a collaborative computing process. In some embodiments, a method includes analyzing pedestrian data generated by a pedestrian device and sensor data generated by the group of connected vehicles to determine digital twin data from a set that correlates with a scenario described by the pedestrian data and the sensor data. The digital twin data is an output of a historical digital twin simulation. The method includes predicting, based on the digital twin data, that the pedestrian is at risk of a collision. The method includes determining modified path data describing a modified walking path for the pedestrian. The method includes transmitting the modified path data to the pedestrian device so that the pedestrian is informed about the modified walking path and the risk is modified.

A method for matching a reference object and a test object includes providing a test object in a field of sensing of at least one sensor disposed at a vehicle. A volume match is determined based on a volume of the reference object and a volume of the test object. A distance match is determined based on a center and orientation of the reference object and a center and orientation of the test object. An angle match is determined based on a yaw angle of the reference object and a yaw angle of the test object. A superposition of the volume match, the distance match, and the angle match is determined based on a multiplication of the volume match, the distance match, and the angle match. A degree of matching of the reference object and the test object is determined based on the superposition.

Disclosed is a method of providing active services based on big data using a remote start device of a vehicle. The method includes the steps of: collecting information related to the vehicle and a driver; deriving a behavior prediction value for predicting driver's behavior based on the collected information; operating an active service determination unit when the derived behavior prediction value meets a preset condition; determining, by the active service determination unit, proposal of an active service to the driver based on the collected vehicle-related information; determining a type of the active service and a time of providing the active service; transmitting proposal of the determined active service to a driver terminal to be displayed; and starting execution of the determined active service according to a change in the state of the driver terminal.

A system, apparatus and method for controlling operation of a vehicle. Driver assistance system (DAS) data may be used for controlling one or more function of the vehicle via a driver assistance system. Driver profile data (DPD) is generated and/or received that includes training data from sensor monitoring of a driver's usage characteristics for at least one feature of a vehicle type during a driver-controlled mode of vehicle driving. The DPD is processed with the DAS data to determine if the DPD conform to a tolerance parameter of the DAS data. A driver profile data file may be created by overwriting the portions of the DAS data with the DPD conforming to the tolerance parameters. One or more functions on the vehicle may be controlled via the driver profile data file using the driver assistance system during one of a semi-autonomous and fully autonomous mode of operation.