Abstract: An automated driving system includes perception, intervention, and vehicle control modules. The perception module detects an upcoming situation to be experienced by a vehicle. The intervention module: determines that a low confidence level exists for a driving decision to be made for the upcoming situation; enables intervention of an autonomous driving mode and indicate information pertaining to the upcoming situation to a driver of the vehicle via an interface; based on the upcoming situation, requests assistance from the driver by (i) indicating available options for the situation via the interface, or (ii) requesting information from the driver to aid in making the driving decision; and determine whether an input has been received from the driver via the interface indicating (i) a selected one of the available options, or (ii) the requested information. The vehicle control module autonomously drives the vehicle based on whether the input has been received.

Abstract: A method for perception-sharing between similarly-situated vehicles that are traveling on a portion of a roadway that is equipped with an intelligent vehicle highway system is described, and includes executing, in a multi-access edge computing cluster in communication with a roadside unit disposed to monitor a roadway, an application-layer routine. The application-layer routine includes collecting real-time data associated with a plurality of objects from each of the similarly-situated vehicles, predicting motion of each of the plurality of objects based upon the real-time data, object-matching the motion of each of the plurality of objects, and executing fusion of the plurality of objects based upon the object-matching of the motion of each of the plurality of objects. Locations of the similarly-situated vehicles traveling on the roadway are identified based upon the fusion of the plurality of objects. The locations are communicated to one of the similarly-situated vehicles.

Abstract: An automated driving system includes perception, intervention, and vehicle control modules. The perception module detects an upcoming situation to be experienced by a vehicle. The intervention module: determines that a low confidence level exists for a driving decision to be made for the upcoming situation; enables intervention of an autonomous driving mode and indicate information pertaining to the upcoming situation to a driver of the vehicle via an interface; based on the upcoming situation, requests assistance from the driver by (i) indicating available options for the situation via the interface, or (ii) requesting information from the driver to aid in making the driving decision; and determine whether an input has been received from the driver via the interface indicating (i) a selected one of the available options, or (ii) the requested information. The vehicle control module autonomously drives the vehicle based on whether the input has been received.

Abstract: An attention-driven streaming system includes an adaptive-streaming module and a transceiver. The adaptive-streaming module includes filters, a compression module, an attention-driven strategy module and a fusion module. The filters filter sensor data received from sensors of a vehicle. The compression module compresses the filtered sensor data to generate compressed data. The attention-driven strategy module generates feedforward information based on a state of the vehicle and a state of an environment of the vehicle to adjust a region of interest. The fusion module generates an adaptive streaming strategy to adaptively adjust operations of each of the filters. The transceiver streams the compressed data to at least one of an edge computing device or a cloud-based network device and in response receive feedback information and pipeline monitoring information.

Abstract: A method for perception-sharing between similarly-situated vehicles that are traveling on a portion of a roadway that is equipped with an intelligent vehicle highway system is described, and includes executing, in a multi-access edge computing cluster in communication with a roadside unit disposed to monitor a roadway, an application-layer routine. The application-layer routine includes collecting real-time data associated with a plurality of objects from each of the similarly-situated vehicles, predicting motion of each of the plurality of objects based upon the real-time data, object-matching the motion of each of the plurality of objects, and executing fusion of the plurality of objects based upon the object-matching of the motion of each of the plurality of objects. Locations of the similarly-situated vehicles traveling on the roadway are identified based upon the fusion of the plurality of objects. The locations are communicated to one of the similarly-situated vehicles.

Abstract: A method for perception-sharing between similarly-situated vehicles that are traveling on a portion of a roadway that is equipped with an intelligent vehicle highway system is described, and includes executing, in a multi-access edge computing cluster in communication with a roadside unit disposed to monitor a roadway, an application-layer routine. The application-layer routine includes collecting real-time data associated with a plurality of objects from each of the similarly-situated vehicles, predicting motion of each of the plurality of objects based upon the real-time data, object-matching the motion of each of the plurality of objects, and executing fusion of the plurality of objects based upon the object-matching of the motion of each of the plurality of objects. Locations of the similarly-situated vehicles traveling on the roadway are identified based upon the fusion of the plurality of objects. The locations are communicated to one of the similarly-situated vehicles.