An advice target location at which a user had a predetermined emotion, for example, is determined based on location information, user biological information, and user transportation means information, which have been acquired by a terminal device (20) being used by the user. Advice information containing information indicating an advice presentation region set by a server device (50) is generated based on the advice target location. This advice information is supplied from the server device (50) to the terminal device (20), so that the terminal device (20) presents advice. With this, advice as to locations pedestrians find dangerous can be presented to drivers, and advice as to locations drivers find dangerous can be presented to pedestrians. Accordingly, accidents and the like can be prevented.

A platooning controller, a vehicle system including the same, and a method thereof are provided. The platooning controller includes a processor that identifies information about outside vehicles around a platooning line based on sensing information of platooning vehicles, determines whether views of the outside vehicles are obstructed by the platooning line based on the information about the outside vehicles, controls the platooning vehicles such that the views of the outside vehicles are obtained, and performs collision avoidance control and a storage storing the sensing information or a result of determination of whether a view is obstructed.

Systems and methods are disclosed for monitoring or affecting movement of a vehicle using a traffic device. An event data source may have a processor and/or a transceiver. The event data source may transmit, via the transceiver and to a vehicle and infrastructure computing device, information indicative of an event affecting a portion of road. The vehicle and infrastructure computing device may comprise a vehicle and infrastructure control computer. The vehicle and infrastructure computing device may receive, from the event data source, the information indicative of the event affecting the portion of road. The computing device may determine one or more traffic devices associated with the portion of road and configured to control traffic for the portion of road. Based on the information indicative of the event affecting the portion of road, the computing device may send, to the one or more traffic devices associated with the portion of road, instructions to change one or more characteristics of the one or more traffic devices.

A method for driving a vehicle on an opposite lane in a controlled manner includes detecting, with a surroundings sensor system, surroundings of the vehicle and receiving, with a control device, measurement data of the surroundings sensor system. The method includes identifying at least one course of a road, and at least one course of at least one road user in the surroundings based on the received measurement data and planning a trajectory of the vehicle within the at least one course of a road. The method further includes identifying a section of the road wherein when driving on the section of road the opposite lane is cut across by the vehicle, and determining a first stop position for the vehicle prior to entering the identified section of road. The method then checks whether the opposite lane can be driven on in the identified section.

Techniques are provided for autonomous vehicle operation using linear temporal logic. The techniques include using one or more processors of a vehicle to store a linear temporal logic expression defining an operating constraint for operating the vehicle. The vehicle is located at a first spatiotemporal location. The one or more processors are used to receive a second spatiotemporal location for the vehicle. The one or more processors are used to identify a motion segment for operating the vehicle from the first spatiotemporal location to the second spatiotemporal location. The one or more processors are used to determine a value of the linear temporal logic expression based on the motion segment. The one or more processors are used to generate an operational metric for operating the vehicle in accordance with the motion segment based on the determined value of the linear temporal logic expression.

An apparatus for safety collaboration in computer-assisted or autonomous driving (CA/AD) vehicles includes an input interface to obtain sensor data from one or more sensors of a CA/AD vehicle, an output interface, and an analyzer coupled to the input and output interfaces to process the sensor data to identify an emergency condition of the CA/AD vehicle, and in response to the identified emergency condition, cause a communication interface of the CA/AD vehicle, via the output interface, to broadcast a request for assistance to be received by one or more nearby CA/AD vehicles. The apparatus may be disposed in the CA/AD vehicle.

Systems and methods for navigating a host vehicle. The system may perform operations including receiving, from an image capture device, at least one image representative of an environment of the host vehicle; analyzing the at least one image to identify an object in the environment of the host vehicle; determining a location of the host vehicle; receiving map information associated with the determined location of the host vehicle, wherein the map information includes elevation information associated with the environment of the host vehicle; determining a distance from the host vehicle to the object based on at least the elevation information; and determining a navigational action for the host vehicle based on the determined distance.

A communication system for a vehicle comprises a mechanism for sensing a motion status of a vehicle, a control device, plurality of data acquisition sensors, and one or more alerting device activation circuits. The communication system is customizable with the plurality of data acquisition sensors and one or more alerting device activation circuits based upon the needs of the vehicle.

A communication system for a vehicle comprises a mechanism for sensing a motion status of a vehicle, a control device, plurality of data acquisition sensors, and one or more alerting device activation circuits. The communication system is customizable with the plurality of data acquisition sensors and one or more alerting device activation circuits based upon the needs of the vehicle.

Mobile wireless terminals, such as vehicles in traffic, can determine the relative positions of other vehicles with improved precision by arranging to acquire GNSS (global navigational satellite system) signals simultaneously, and then analyzing the various data sets differentially. Simultaneous acquisition can cancel many important errors such as motional errors of the vehicles, atmospheric distortions, and satellite timebase errors. Differential analysis to determine the relative positions of vehicles (as opposed to their overall geographical coordinates) can reduce errors related to satellite ephemeris and velocity, as well as roundoff errors. Localization with a precision of less than 1 meter can greatly improve collision avoidance while discriminating near-miss scenarios from imminent collisions, according to some embodiments. Messaging examples, in 5G and 6G, to manage the simultaneous acquisition and differential analysis, are provided in examples. Many other aspects are disclosed.