Abstract: Methods and systems for verifying a state of a road. The system includes a sensor of a vehicle configured to detect sensor data associated with the road. The system also includes a memory of the vehicle configured to store map data. The system also includes an electronic control unit (ECU) of the vehicle connected to the sensor and configured to determine road data or maneuvering data associated with the road based on the sensor data, and update the map data with the determined road data or maneuvering data.

Abstract: Systems and methods for vehicle-based weather detection are disclosed herein. The systems and methods can include selecting one or more vehicles from a plurality of vehicles based on one or more network membership parameters. One or more data acquisition networks can be formed using the one or more selected vehicles. Sensor data can be received from the one or more data acquisition networks. One or more weather conditions can be predicted using the sensor data. One or more environmental elements can be updated based on the predicted weather conditions.

Abstract: Systems and methods for roadway obstruction detection are disclosed herein. One embodiment receives information pertaining to a potential roadway obstruction; determines that additional information regarding the potential roadway obstruction is needed to identify the potential roadway obstruction; selects one or more vehicles from a plurality of vehicles based, at least in part, on their proximity to the potential roadway obstruction and their sensor capabilities; and determines that the potential roadway obstruction is a specific type of roadway obstruction based, at least in part, on additional information regarding the potential roadway obstruction received from at least one of the selected one or more vehicles.

Abstract: Methods and systems for verifying a state of a road. The system includes a sensor of a vehicle configured to detect sensor data associated with the road. The system also includes a memory of the vehicle configured to store map data. The system also includes an electronic control unit (ECU) of the vehicle connected to the sensor and configured to determine road data or maneuvering data associated with the road based on the sensor data, and update the map data with the determined road data or maneuvering data.

Abstract: Systems and methods for roadway obstruction detection are disclosed herein. One embodiment receives information pertaining to a potential roadway obstruction; determines that additional information regarding the potential roadway obstruction is needed to identify the potential roadway obstruction; selects one or more vehicles from a plurality of vehicles based, at least in part, on their proximity to the potential roadway obstruction and their sensor capabilities; and determines that the potential roadway obstruction is a specific type of roadway obstruction based, at least in part, on additional information regarding the potential roadway obstruction received from at least one of the selected one or more vehicles.

Abstract: Systems and methods for vehicle-based weather detection are disclosed herein. The systems and methods can include selecting one or more vehicles from a plurality of vehicles based on one or more network membership parameters. One or more data acquisition networks can be formed using the one or more selected vehicles. Sensor data can be received from the one or more data acquisition networks. One or more weather conditions can be predicted using the sensor data. One or more environmental elements can be updated based on the predicted weather conditions.

Abstract: An augmented reality inspection system includes a computing device having a processor and a non-transitory computer readable memory, a camera and display device communicatively coupled to the computing device, and a machine-readable instruction set stored in the non-transitory computer readable memory. The machine-readable instruction set causes the augmented reality inspection system to capture an image of a portion of a vehicle with the camera, compare the image of the portion of the vehicle to an image of an acceptable vehicle configuration, determine whether features within the image of the portion of the vehicle matches at least one acceptable vehicle configuration based on the image of the acceptable vehicle configuration, and in response to determining that the features does not match at least one acceptable vehicle configuration, present on the display device a highlighted portion identifying the features within the image of the portion of the vehicle that does not match.

Abstract: An augmented reality inspection system includes a computing device having a processor and a non-transitory computer readable memory, a camera and display device communicatively coupled to the computing device, and a machine-readable instruction set stored in the non-transitory computer readable memory. The machine-readable instruction set causes the augmented reality inspection system to capture an image of a portion of a vehicle with the camera, compare the image of the portion of the vehicle to an image of an acceptable vehicle configuration, determine whether features within the image of the portion of the vehicle matches at least one acceptable vehicle configuration based on the image of the acceptable vehicle configuration, and in response to determining that the features does not match at least one acceptable vehicle configuration, present on the display device a highlighted portion identifying the features within the image of the portion of the vehicle that does not match.