Abstract: A method of partial sensor data sharing is described. The method includes detecting an occluded area relative to a receiver vehicle. The method also includes defining an area of interest (AoI) based on a traffic topology and state information of a selected sender vehicle. The method further includes transmitting the area of interest to the selected sender vehicle. The method also includes receiving a sensor data corresponding to the area of interest when the detected occluded area is within a sensor coverage area of the selected sender vehicle.

Abstract: A method includes receiving, from connected vehicles, first locations of a first set of vehicles in an initial vehicle configuration; receiving, from a roadside unit, second locations of a second set of vehicles in the initial vehicle configuration; determining locations of connected vehicles and non-connected vehicles in the initial vehicle configuration based on the first locations and the second locations; determining an optimal vehicle configuration comprising desired locations of the connected vehicles and the non-connected vehicles based on the locations of the connected vehicles and the non-connected vehicles in the initial vehicle configuration, and predetermined optimization criteria; determining driving maneuvers to be performed by the connected vehicles to achieve the optimal vehicle configuration; and transmitting the determined driving maneuvers to the connected vehicles.

Abstract: A method of partial sensor data sharing is described. The method includes detecting an occluded area relative to a receiver vehicle. The method also includes defining an area of interest (AoI) based on a traffic topology and state information of a selected sender vehicle. The method further includes transmitting the area of interest to the selected sender vehicle. The method also includes receiving a sensor data corresponding to the area of interest when the detected occluded area is within a sensor coverage area of the selected sender vehicle.

Abstract: A method of partial sensor data sharing is described. The method includes detecting an occluded area relative to a receiver vehicle. The method also includes defining an area of interest (AoI) based on a traffic topology and state information of a selected sender vehicle. The method further includes transmitting the area of interest to the selected sender vehicle. The method also includes receiving a sensor data corresponding to the area of interest when the detected occluded area is within a sensor coverage area of the selected sender vehicle.

Abstract: A method of partial sensor data sharing is described. The method includes detecting an occluded area relative to a receiver vehicle. The method also includes defining an area of interest (AoI) based on a traffic topology and state information of a selected sender vehicle. The method further includes transmitting the area of interest to the selected sender vehicle. The method also includes receiving a sensor data corresponding to the area of interest when the detected occluded area is within a sensor coverage area of the selected sender vehicle.

Abstract: A method of partial sensor data sharing is described. The method includes defining an area of interest (AoI) based on a traffic topology and state information of a selected sender vehicle. The method also includes transmitting the area of interest to the selected sender vehicle. The method further includes sharing, by the selected sender vehicle, a sensor data corresponding to the area of interest when the area of interest is within a sensor coverage area of the selected sender vehicle.

Abstract: A method includes receiving, from connected vehicles, first locations of a first set of vehicles in an initial vehicle configuration; receiving, from a roadside unit, second locations of a second set of vehicles in the initial vehicle configuration; determining locations of connected vehicles and non-connected vehicles in the initial vehicle configuration based on the first locations and the second locations; determining an optimal vehicle configuration comprising desired locations of the connected vehicles and the non-connected vehicles based on the locations of the connected vehicles and the non-connected vehicles in the initial vehicle configuration, and predetermined optimization criteria; determining driving maneuvers to be performed by the connected vehicles to achieve the optimal vehicle configuration; and transmitting the determined driving maneuvers to the connected vehicles.

Abstract: The disclosure includes embodiments for a cloud server to transmit a set of wireless communications. A method includes wirelessly receiving, by the cloud server, context data from a set of connected vehicles, where the context data describes (1) a context for the set of connected vehicles and (2) a set of vehicular communications to be sent by the set of connected vehicles, including digital data describing payloads and recipients for these vehicular communications. The method includes executing a set of digital twin simulations based on the context data to generate communication plan data describing a communication plan for transmitting a set of non-vehicular communications which include a same payloads and recipients for the set of vehicular communications. The method includes wirelessly transmitting, by the cloud server, the set of non-vehicular communications in compliance with the communication plan and the standards governing transmission of vehicular communications.

Abstract: A method of partial sensor data sharing is described. The method includes defining an area of interest (AoI) based on a traffic topology and state information of a selected sender vehicle. The method also includes transmitting the area of interest to the selected sender vehicle. The method further includes sharing, by the selected sender vehicle, a sensor data corresponding to the area of interest when the area of interest is within a sensor coverage area of the selected sender vehicle.

Abstract: The disclosure includes embodiments for improving an estimate of a geographical position of an ego vehicle using wireless vehicle data of a remote vehicle. A method according to some embodiments includes determining ego estimate data based on remote GPS data and relative position data. The remote GPS data describes a geographical location of the remote vehicle. The relative position data describes a location of the ego vehicle relative to the remote vehicle as measured by onboard sensors of the remote vehicle. The ego estimate data describes the geographical location of the ego vehicle from the perspective of the remote vehicle. The method includes fusing the ego estimate data and ego GPS data to form fused data. The ego GPS data describes the geographical location of the ego vehicle from the perspective of the ego vehicle. The fused data describes the geographical location of the ego vehicle with lane-level accuracy.

Abstract: The disclosure includes embodiments for improving an estimate of a geographical position of an ego vehicle using wireless vehicle data of a remote vehicle. A method according to some embodiments includes determining ego estimate data based on remote GPS data and relative position data. The remote GPS data describes a geographical location of the remote vehicle. The relative position data describes a location of the ego vehicle relative to the remote vehicle as measured by onboard sensors of the remote vehicle. The ego estimate data describes the geographical location of the ego vehicle from the perspective of the remote vehicle. The method includes fusing the ego estimate data and ego GPS data to form fused data. The ego GPS data describes the geographical location of the ego vehicle from the perspective of the ego vehicle. The fused data describes the geographical location of the ego vehicle with lane-level accuracy.