In an example, a method captures, at a first connected vehicle situated in a travel path segment, first sensor data describing an environment proximate to the first connected vehicle. The environment includes a first unconnected vehicle. The method wirelessly receives, via a communication network at the first connected vehicle from a second connected vehicle situated in the travel path segment, second sensor data describing one or more operating characteristics of the first unconnected vehicle. The method estimates, using the first sensor data and the second sensor data, a vehicle action of the first unconnected vehicle.

Implementations of the disclosed subject matter provide a mobile robot that moves within an area and captures image data by an image sensor. A position of text, an image, and/or video on a display screen of a display mounted to the mobile robot may be adjusted based on the image data captured by the mobile robot that includes one or more persons that are within the area. The text, the image, and/or the video may be at the adjusted position in the display screen of the display and audio via a speaker of the mobile robot to the one or more persons based on their heights, eye level, whether they are seated, or the like.

A method for zone passage control in an underground worksite having a plurality of operation zones for autonomously operating mobile vehicle operations includes the steps of receiving position information of at least one autonomously operating mobile vehicle in a fusion zone merged of at least a first zone and a second zone associated with a first passage control unit, and in response to detecting a mobile object by a second passage control unit associated with the first zone, performing: checking position of the at least one autonomously operating mobile vehicle, in response to an autonomously operating mobile vehicle being positioned in the second zone, preventing a control command to stop the autonomously operating mobile vehicle in the second zone, and demerging the first zone and the second zone.

Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.

A behavior control method for controlling a behavior of a vehicle comprising: specifying a blind-spot region as blind-spot of an environment recognition portion along a travel route for the vehicle; determining a jump-out possibility of a moving object to the travel route from the blind-spot region; performing a possibility reduction behavior to lower the jump-out possibility, in response to that the jump-out possibility is confirmed; and performing a travel behavior compliant with the travel route after starting the possibility reduction behavior.

A server assigns a vehicle to be provided with a vehicle sharing service to a user based on the received at least one piece of schedule information and position information of a plurality of the vehicles when at least one of schedule information of the user and use information of a vehicle sharing service is received by a terminal for the user. The server operates a communication device to transmit identification information of the assigned vehicle to the terminal for the user, and operates the communication device to transmit user information to the assigned vehicle.

A computer-implemented method of generating and broadcasting telematics and/or image data is provided. Telematics and/or image data may be collected, with customer permission, in real-time by a mobile device (or a Telematics App running thereon) traveling within an originating vehicle. The telematics data may include acceleration, braking, speed, heading, and location data associated with the originating vehicle. The mobile device may generate an updated telematics data broadcast including up-to-date telematics data at least every few seconds; and then broadcast the updated telematics data broadcast at least every few seconds via wireless communication to another computing device to facilitate alerting another vehicle or driver of an abnormal traffic condition or event that the originating vehicle is experiencing. An amount that an insured uses or otherwise employs the telematics data-based risk mitigation or prevention functionality may be used with usage-based insurance, or to calculate or adjust insurance premiums or discounts.

An example operation may include one or more of detecting, by a parking processing node, a parking of a transport at an event location, accessing, by the parking processing node, a device of a transport occupant to determine a transport pickup location and a pickup time based on a conclusion of an event, detecting, by the parking processing node, from the device of the transport occupant at least one modification of the pickup location and the pickup time made based on an updated conclusion of the event, and sending a command to move the transport to a location proximate to the event based on the modified pickup location and the modified pickup time.

The position of the vehicle for loading articles on a cart with a self-propelled function is acquired, the travel route of the cart to the vehicle is determined, and the cart is self-propelled to the vehicle along the determined travel route and stopped around the vehicle.

A system, a method, and a computer program product for generating maneuver data for a vehicle are disclosed herein. The system comprises at least one non-transitory memory configured to store computer program code instructions and at least one processor configured to execute the computer program code instructions to obtain direction share data from at least one mobile device, wherein the direction share data comprises immediate route data and immediate direction data associated with the corresponding at least one mobile device, determine localized direction share data for the at least one mobile device from the direction share data, wherein the localized direction share data indicates location, exact lane and direction of the corresponding at least one mobile device, and generate the maneuver data for the vehicle, based on the localized direction share data and map data, using at least one machine learning model.