Among other things, an equipment for use on board a first ground transportation entity has (a) a receiver for information generated by a sensor of the environment of the first ground transportation entity, (b) a processor, and (c) a memory storing instructions executable by the processor to generate and send safety message information to a second ground transportation entity based on the information generated by the sensor.

A method for assisting a person to perform a task in a dynamic environment comprises a step of acquiring data on the dynamic environment, and of predicting at least one behavior of an object or event in the dynamic environment based on the acquired data. The method proceeds by determining a relevance measure of the at least one behavior of the object or event based on the prediction. Then a modulation signal is generated, wherein the modulation signal changes at least one signal parameter as a function of the determined relevance. The modulation signal is then used to modulate at least one directional stimulus signal, wherein the at least one modulated directional stimulus signal further depends on a direction of the predicted at least one behavior of the object or event with respect to the assisted person. The at least one modulated stimulus signal is then output to the assisted person.

Vehicles in traffic are expected to communicate wirelessly, to avoid collisions and facilitate the flow of traffic. Unfortunately, in 5G and 6G, the process of finding a wireless address of a specific vehicle is slow and difficult. Disclosed is a “connectivity matrix”, an emblem that vehicles can display, showing a pattern of black and white squares that forms a unique code. Another vehicle can autonomously read the code and look up the wireless address in a tabulation. The tabulation relates each code to the relevant wireless address, and optionally other information about the vehicle. The two vehicles can then transfer messages, including emergency messages, without delay. At freeway speeds, this can save lives. A central entity maintains the tabulation, ensuring that each wireless address is associated with a unique connectivity matrix code. Roadside companies and access points can also display a connectivity matrix, promote communication with prospective customers.

Embodiments include systems and methods executed by a processor of a vehicle for presenting relevant warnings to a vehicle operator, including receiving a vehicle-to-everything (V2X) communication including information regarding a V2X-identified threat, determining whether the vehicle operator has not recognized the V2X-identified threat, determining a display location that is most likely to receive the vehicle operator's attention in response to determining that the vehicle operator has not recognized the V2X-identified threat, and generating an alert regarding the V2X-identified threat on the determined display location. The generated alert regarding the V2X-identified threat on the determined display location may exclude alerts regarding any threat conditions that the processor has determined that the vehicle operator has recognized.

A vehicular sensing system includes a data processor disposed at a vehicle, a camera disposed at an in-cabin side of the vehicle windshield, and a range sensor disposed at the vehicle and having a field of sensing that overlaps a portion of the field of view of the camera. During a driving maneuver of the vehicle, the system detects another vehicle that is located within the radar sensors field of sensing and outside of the camera's field of view and determines movement of the range sensor-detected other vehicle relative to the vehicle. When the range sensor-detected other vehicle enters the field of view of the camera, the system, at least in part via processing at the data processor of image data captured by the camera, determines that the range sensor-detected other vehicle is an object of interest. A system output is provided for use by a driving assist system.

Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.

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.

A method is disclosed for vehicular operation on a road comprising a road network configured to communicate with one or more vehicles on the road, the method comprising sending a signal from a first vehicle to the road network, the signal comprising an intended path of the first vehicle on the road; receiving the signal at the road network; and adjusting at least one of a speed and a path of a second vehicle with respect to the road in response to the signal.

A system includes one or more processors. The one or more processors are configured to receive crossing obstruction information from an optical sensor disposed proximate a crossing of a route traversed by a vehicle, with the crossing obstruction information indicating a presence of an obstruction to the crossing; obtain position information indicating a position of the vehicle traversing the route; determine proximity information of the vehicle indicating proximity of the vehicle to the crossing using the position information; determine a presence or absence of an alert state indicating a potential of the crossing being obstructed using the crossing obstruction information and the proximity information; and perform a responsive activity based responsive to a determination of the presence of the alert state.

A map information system includes a map database including map information; and a driving assist level determination device. The map information is associated with an evaluation value indicating a certainty of the map information for each location in an absolute coordinate system. Information indicating that the intervention operation is performed is included in driving environment information indicating a driving environment of a vehicle. The driving assist level determination device is configured to acquire, based on the driving environment information, intervention operation information indicating an intervention operation location where the intervention operation is performed, acquire, based on the map information, the evaluation value for each point or section in a target range, and determine, based on the evaluation value and the intervention operation location, an allowable level for each point or section within the target range.