Embodiments herein are directed to a vehicle. The vehicle includes a communication device and an autonomous vehicle controller. The autonomous vehicle controller is communicatively coupled to the communication device. The autonomous vehicle controller is configured to operate the vehicle in between an autonomous driving mode and a manual driving mode. The autonomous vehicle controller includes one or more processors, one or more memory modules communicatively coupled to the one or more processors, and machine readable instructions stored in the one or more memory modules. The machine readable instructions cause the autonomous vehicle controller to perform at least the following when executed by the one or more processors: operate the vehicle in the autonomous driving mode, obtain a vehicle environment information, determine whether an event is required based on the vehicle environment information, and alert the communication device of the event.

A vehicle that can be customized and personalized via a mobile user profile. The vehicle can include a body, a powertrain, vehicle electronics, and a computing system. The computing system of the vehicle can be configured to: receive data fields of a driver profile of a user from a mobile device; estimate, using machine learning, configurations of vehicle functions for the vehicle according to the data fields; and control settings of a set of components of the vehicle, via the vehicle electronics, according to the estimated configurations.

A system includes a processor configured to determine a driver identity. The processor is also configured to receive a request for a change to a driving mode and responsive to the request, enable or deny the driving mode based on mode-correlation to one of a predefined set of permissible driving modes pre-associated with the driver identity.

Provided are a driving assistance system and method. The driving assistance system is for interfacing with an individual vehicle and includes: a camera system that generates image information about the surroundings of the vehicle; a vehicle controller that generates driving information about the vehicle; and a communication port. The driving assistance system includes a driving assistance terminal and/or mobile device that are/is connected to the communication port, acquire(s) image information and/or driving information by using the communication port, and execute(s) at least a portion of a travel program for the driving assistance terminal and/or mobile device on the basis of an image and/or driving information for controlling the vehicle with respect to one or more of auxiliary travels and/or autonomous operations of the vehicle through a control signal generated by the driving assistance terminal or the mobile device and provided to the vehicle.

A Remote Trailer Maneuvering (RTM) system includes a mobile device app that identifies and processes environmental information from a photo, to identify obstacles such as walls, surrounding objects, etc. When the RTM system detects a boat, a trailer, and a boat ramp, it calculates a travel distance to drive the trailer into the water for unloading the boat. The RTM system identifies obstructions, outputs information and warnings, and prompts for information and user control feedback. Once the photo is processed, the RTM system sends control instructions to an RTM controller onboard the vehicle. The vehicle may send a responsive message to the mobile device indicating that the RTM system is ready to proceed with the maneuvering function. The RTM controller maneuvers the trailer, using an autonomous vehicle controller, to the target position using the control instructions.

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.

An information processing device includes a controller that is configured to: acquire driving behavior information as an indication of prudence of a driver in driving a vehicle, acquire a vehicle avatar corresponding to the vehicle, the vehicle avatar having a basic personality set thereto according to information about the vehicle, create a message according to the basic personality of the vehicle avatar based on the driving behavior information, and output the message, that is created, as an utterance of the vehicle avatar.

An example operation includes one or more of receiving data, by a transport, from a device in proximity to the transport, the data comprises one or more of a speed, a direction, and a distance of the device from the transport, determining, by the transport, a dangerous situation based on the data, obtaining consensus, by the transport, to validate the dangerous situation from one or more of: one or more other devices proximate to the transport, and one or more other transports proximate the transport, and notifying the device, by the transport, based on the consensus, the notification comprises the dangerous situation.

A management device that manages a service of transporting a user in a designated section using a vehicle which is able to travel autonomously without a driver by causing the vehicle to travel includes: a user detector configured to detect whether a user in the vehicle has alighted at a scheduled alighting position of the user; and an operation controller configured to cause the vehicle to perform a predetermined operation when the user detector detects that the user has not alighted at the scheduled alighting position.

Systems and methods described herein relate to remotely activating a vehicle. One embodiment receives transaction information regarding an electronic payment; associates the transaction information with a vehicle; determines that the vehicle is within a predetermined distance from a business where the electronic payment was transacted; and transmits, to the vehicle, a remote activation command that activates one or more subsystems of the vehicle.