The present disclosure relates to a contextual service device and method of use to identify an operator's needs, such as in the event a vehicle crash, vehicle breakdown, theft, and/or vehicle related quarry in real time. In various aspects, the device is self-sufficient and may be installed and activated in a single step. Furthermore, the device is not reliant upon external systems of components of the vehicle to operate and may be updated over the air to improve cash detection accuracy.

A vehicle control device including a microcontroller, a wifi/bluethoot device, a voltage stabilizer circuit and a voltage protector circuit, a battery and a battery charge control circuit, an analogue-digital bus can adapter circuit of transceiver type, an optical-digital signal adapter, a radiofrequency (rf) module, an external antenna adapter circuit and a non-volatile data storage device (rom) that allows the generation of an internal and an external wireless network at the same time and connection with other devices, to make control, warning, management and storage of driver's data and his driving style, his load and related units in real-time, and the interrelation with other vehicles that also have the device, for communication.

A network system uses Wi-Fi signals or other types of short-range transmissions to determine pickup locations for users receiving services provided via the network system. The network system builds a database of search records mapping pickup locations to signatures of short-range transmission detected by users' client devices when they searched for the pickup locations. By comparing a signature detected by a given user's client device to the signatures in the database, the network system can check for similarities between the short-range transmissions. Responsive to finding a match, the network system predicts that the given user is likely to select a similar pickup location as other users whose client devices detected the signatures corresponding to the match. Accordingly, by leveraging the database, the network system can predict pickup locations without requiring the given user to input a search for a pickup location.

A vehicle with an emergency reporting function includes a vehicle communicator, an emergency reporting switch, a user interface, and a processor. The vehicle communicator transmits an emergency report about an emergency involving the vehicle to a server to make a request for an emergency response. The processor generates an emergency report and causes the vehicle communicator to transmit the emergency report if the vehicle is involved in an emergency. If the emergency reporting switch is manually operated by an occupant of the vehicle upon occurrence of the emergency, the processor presents emergency category items to allow the occupant to select a category item among the emergency category items on the user interface, generates the emergency report based on a manual operation about the category item selected by the occupant, and causes the vehicle communicator to transmit the emergency report based on the manual operation.

The various systems and methods disclosed herein provide for a secure, cost effective, and high accuracy location detection. In some embodiments of the system and method for high accuracy location detection, a mobile location device obtains and calculates location data from a plurality of sources without requiring expensive and power inefficient processors. In some embodiments, such secure, cost effective, and high accuracy location detection by the mobile location device is used in improved parking and payment management systems and methods. In some such embodiments, the location device communicates with remote geomapping servers and payment systems to provide automated parking and payment.

Systems, methods, computer-readable media, and apparatuses for receiving requests for roadside assistance, generating user interfaces and using machine learning to generate roadside assistance instructions are provided. In some examples, a request for roadside assistance may be received. A user and one or more partners may be identified based on the request. In some examples, a profile associated with the user, partner or the like may be identified. A user interface may be generated based on the profile and may include features unique to the profile, partner, or the like. In some arrangements, the interface may include a first portion and a second portion. Selection of an option from the first portion may cause the system to identify data for display in the second portion and cause the data to be displayed in the second portion. Machine learning may be used to determine or identify one or more roadside assistance instructions and a roadside assistance instruction may be generated and executed.

An autonomous vehicle includes a control system for remotely controlling the same. The autonomous vehicle includes an autonomous driving control apparatus having a processor that is configured to transmit an emergency request message to a control system when an emergency occurs to an emergency patient in the vehicle during autonomous driving, and the autonomous driving control apparatus is configured to direct the autonomous vehicle to follow a path with a shortest estimated required time among a contact path with an ambulance, a contact path with a neighboring vehicle capable of first aid, or a travel path to a hospital depending on remote control of the control system.

The present application includes a search route processor that calculates a plurality of search routes between locations of a plurality of searchers belonging to a predetermined area and a search target based on position information of the search target acquired from a position information terminal held by the search target, and a plurality of portable terminals that is held by the plurality of searchers and displays the plurality of search routes calculated by the search route processor and personal information that identifies the search target.

This disclosure relates to a distributed data center that includes resources carried by a fleet of vehicles. The system includes sensors configured to generate output signals conveying information related to the vehicles and/or the surroundings of vehicles. The system includes a remote computing server configured to maintain map data and distribute it to the fleet, including local map data to individual vehicles pertaining to their surroundings. Individual vehicles may compare the local map data with the information related to their individual surroundings. Based on such comparisons, individual vehicles may detect discrepancies between the local map data and the information related to their individual surroundings. The remote computing server may modify and/or update the map data based on the detected discrepancies.

Systems and methods for validating telematics device installations are provided. The systems and methods involve operating at least one processor to: receive, from an installer, a device identifier corresponding to a telematics device; determine whether telematics data was received from the telematics device based at least on the device identifier; in response to determining that telematics data was received from the telematics device: present an indication to the installer that the telematics device was correctly installed in the vehicle; receive, from the installer, vehicle information associated with the vehicle; and store the vehicle information in association with the device identifier; and in response to determining that telematics data was not received from the telematics device: present an indication to the installer that the telematics device was not correctly installed in the vehicle; and store installation information in association with the device identifier.