Abstract: Systems and methods for implementing edge computing assisted vehicle alerts. A multi-access edge computing (MEC) server may be configured to obtain a plurality of messages from one or more vehicles, determine formation of a traffic queue based on the plurality of messages, determine a plurality of zone-based speed limits, determine when a vehicle approaching the traffic queue may be traveling faster than desired based on its location relative to an applicable zone-based speed limit, and generate one or more alerts.

Abstract: A vehicle including a human machine interface (HMI); a light sensor configured to receive a light pulse emitted from an illumination device, wherein the light pulse includes an original message in a modulated format; and one or more controllers programmed to demodulate the light pulse to obtain the original message, wherein the original message identifies an object on which the illumination device is attached, convert the original message into a processed message, and output the processed message via the HMI.

Abstract: Filtering of V2X messages is performed by an ego vehicle. A velocity of travel of the ego vehicle is identified. One or more distance thresholds of dynamic filter criteria are adjusted according to the identified velocity. Via a transceiver of the ego vehicle, a vehicle-to-everything (V2X) message is received. From the V2X message, a location of a remote road entity of the V2X message is identified. The V2X message is filtered based on whether the location of the remote road entity is within the one or more distance thresholds. The V2X message is only processed if the V2X message is not filtered out, thereby reducing resource usage due to the filtered out V2X messages.

Abstract: Data fusion of radio frequency (RF) and visual data is provided. Via a transceiver of a vehicle, a vehicle-to-everything (V2X) message is received from a remote road entity, the V2X message including one or more V2X data elements descriptive of the remote road entity. Using a camera of the vehicle, modulated light data is captured within a sensing area surrounding an ego road entity, the modulated light data being sent from the remote road entity. A modulated light transmission in the modulated light data is decoded to identify one or more light data elements in the modulated light data descriptive of the road entity. An association of the one or more V2X data elements is performed with the one or more light data elements to identify associated V2X camera objects where the V2X message and the modulated light data are fused into a combined representation of the remote road entity.

Abstract: A vehicle including a human machine interface (HMI); a light sensor configured to receive a light pulse emitted from an illumination device, wherein the light pulse includes an original message in a modulated format; and one or more controllers programmed to demodulate the light pulse to obtain the original message, wherein the original message identifies an object on which the illumination device is attached, convert the original message into a processed message, and output the processed message via the HMI.

Abstract: Systems and methods for implementing edge computing assisted vehicle alerts. A multi-access edge computing (MEC) server may be configured to obtain a plurality of messages from one or more vehicles, determine formation of a traffic queue based on the plurality of messages, determine a plurality of zone-based speed limits, determine when a vehicle approaching the traffic queue may be traveling faster than desired based on its location relative to an applicable zone-based speed limit, and generate one or more alerts.