The invention relates to a navigation assistance system comprising an electronic device and first and second human-machine interfaces that cooperate with the electronic device. The latter produces an orientation instruction, in the form of a message transmitted to one of said first and second human-machine interfaces depending on the orientation of a change of direction. Each human-machine interface advantageously comprises a display for outputting a light indication in response to the reception of the message. Advantageously positioned to the left and right, respectively, within the field of vision of a user of the system, the displays of the first and second human-machine interfaces output to the user a visual and lateralized navigational aid that is particularly intuitive and non-invasive.

The present disclosure relates to an illumination method, an illumination apparatus and a storage medium for an intelligent flashlight, and an intelligent device. The illumination method for an intelligent flashlight includes: acquiring a current operation mode of the intelligent flashlight, and when the intelligent flashlight is in a setting mode, acquiring reference route information for current navigation from a terminal associated with the intelligent flashlight and in a navigation state; acquiring current route information of the intelligent flashlight, determining whether the current route information is consistent with the reference route information, and generating a route determination result; and determining an illumination mode of the intelligent flashlight according to the route determination result.

An information communications system (100) for a vehicle includes an on-vehicle information device (10). The on-vehicle information device (10) includes: an information collection unit (11) which collects vehicle information from an on-vehicle device (41, 42, 43, 44), communication interfaces (14A, 14B) connected to mobile terminals (20) having a communication function and being brought inside the vehicle, and a control unit (12) which transfers the vehicle information collected by the information collection unit (11) to any one of the mobile terminals (20) via any one of the communication interfaces (14A, 14B). If one of the mobile terminals (20) currently selected as a destination of the vehicle information satisfies a predetermined condition, the control unit (12) switches the destination of the vehicle information to a different mobile terminal (20). The mobile terminal (20) which received the vehicle information transfers the vehicle information thus received to a center device (30).

Disclosed are a robot and a method of providing a guidance service by the robot. A method of providing a guidance service by a robot according to an embodiment of the present disclosure may include receiving a guidance request from a user, determining a route to a destination based on the received guidance request, determining a field of vision based on the movement direction of the determined route, determining a projection area based on the determined field of vision and information on projectable surfaces, and projecting a laser beam indicating guidance information onto the determined projection area. In a 5G environment connected for the Internet of things, the method for recommending a location of a charging station is implemented by executing an artificial intelligence algorithm or machine learning algorithm.

An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: for a defined road journey through a road network from a start location to an end location, assign respective sub-portions of the defined road journey to each of a group of mobile devices associated with one or more travellers for the road journey according to at least one predefined assignment criterion, wherein each of the group of mobile devices is configured for provision of live mapping data for live navigation of the respective sub-portion of the road journey.

A video display system for a vehicle includes a video display device disposed in the vehicle so as to be viewable by a driver of the vehicle. A camera is disposed at the vehicle and having an exterior field of view and operable to capture image data. A control includes a data processor. The control, responsive at least in part to processing by the data processor of captured image data, detects an object present exterior of the vehicle that is in the field of view of the camera, and determines if the detected object constitutes a hazardous condition. Responsive to determination of the hazardous condition, the control controls the video display device to automatically display an alert to the driver of the vehicle, with the alert including display of video images of the object that are derived from captured image data or a graphic overlay on displayed video images.

A system comprising one or more transceivers configured to communicate data with a communication device of a remote vehicle. The system may also include a processor in communication with the transceiver and programmed to receive data from the communication device indicating a location of the vehicle and data indicating that the vehicle departed prior to a threshold departure time, wherein the threshold departure time is determined in part by data received indicating a category of a point of interest (POI) associated with a location of the vehicle, and send a notification to a mobile device associated with the vehicle when the data indicating that vehicle departed is prior to the threshold departure time.

A user analytics computing device for processing vehicle-based telematics data and generating user offerings responsive to the vehicle-based telematics data includes at least one processor in communication with a memory device. The processor is programmed to: (i) receive, from a vehicle computing device, telematics data associated with a plurality of trips taken by a first driver using a first vehicle, (ii) generate a driver profile of the first driver based at least in part upon the telematics data, (iii) access, from the memory device, contextual data associated with an environment in which the first vehicle travelled during the plurality of trips, (iv) synthesize the driver profile and the contextual data to generate a contextualized driver profile, (v) based upon the contextualized driver profile, generate a user offering to influence the driver profile, and (vi) transmit the user offering to a user computing device associated with the first driver.

An example method for assisting autonomous vehicle (AV) riders reach their destination after drop-off can include navigating the AV to a drop-off location associated with a user in the AV, receiving sensor data from sensors associated with the AV, determining, based on the sensor data, an orientation of the user in the AV and a location of the AV relative to a final destination of the user, generating a recommendation for how to exit the AV at the drop-off location based on the orientation of the user in the AV and the location of the AV relative to the final destination of the user, and providing the recommendation via a display, a speaker, a light-emitting device, and/or a client device, the recommendation including a visual indication of an exit direction or an AV door to use to exit the AV, audio instructions for exiting the AV, and/or visual exit instructions.

A vehicular driver monitoring system includes an interior prismatic rearview mirror assembly and a camera disposed at the interior prismatic rearview mirror assembly behind and viewing through a prismatic mirror reflective element into the interior cabin of the vehicle. Supplemental sources of near infrared illumination are disposed at the mirror assembly that are operable to emit near infrared light to illuminate at least the driver-side front seating area within the interior cabin of the vehicle. Presence of the camera behind the prismatic mirror reflective element is not readily apparent to an occupant of the vehicle. The camera at least (a) views the driver-side front seating area of the vehicle and (b) views a passenger-side front seating area of the vehicle. The driver of the equipped vehicle is monitored via processing at the processor of image data captured by the camera.