Abstract: Technologies for managing interoperable high definition (HD) maps for autonomous vehicles includes a HD map server to distribute interoperable HD map tiles to various autonomous vehicles, each of which may be configured to utilize proprietary HD map tiles of different propriety formats. As such, each of the autonomous vehicles is configured to translate the interoperable HD map tile to the proprietary format used by that particular vehicle. Additionally, each autonomous vehicle may submit crowd-sourced sensor data to the interoperable HD map server using a universal data set by converting the sensor data to a universal data structure.

Abstract: In one embodiment, a road side unit (RSU) establishes a data offload session with a vehicle in the vicinity of the RSU based on a session establishment request sent by the vehicle, and stores data received from the vehicle during the data offload session in its memory. The RSU generates storage record information (including identifying information for the RSU) for the stored data, and transmits the storage record information to the vehicle.

Abstract: A compute system that includes an Internet of things (IoT) device is provided. The IoT device includes a common services interface (CSI) to create a self-managing network of devices with other nodes comprising the CSI.

Abstract: In one embodiment, a road side unit (RSU) establishes a data offload session with a vehicle in the vicinity of the RSU based on a session establishment request sent by the vehicle, and stores data received from the vehicle during the data offload session in its memory. The RSU generates storage record information (including identifying information for the RSU) for the stored data, and transmits the storage record information to the vehicle.

Abstract: Systems and methods for managing distributed compute resources are described herein. A system is configured to receive, from an agent operating at a first compute domain of a plurality of compute domains, a request for compute resources; broadcast the request for compute resources to respective agents at the plurality of compute domains; receive a plurality of offers for available compute resources from at least a portion of the plurality of compute domains; transmit, to a selected agent at a selected compute domain of the plurality of compute domains, a commit message to reserve compute resources of the selected compute domain associated with a selected offer of the plurality of offers; and transmit an indication of the commit message to the agent at the first compute domain, wherein the first compute domain is to use the compute resources reserved at the selected compute domain for workloads of the first compute domain.

Abstract: Apparatuses, storage media and methods associated with computer assisted driving (CAD), are disclosed herein. In some embodiments, an apparatus includes an autopilot engine to automatically pilot the vehicle out of a potential emergency situation, including to automatically pilot the vehicle for a period of time in view of a plurality of operational guardrails determined in real time for each of a plurality of timing windows; and a mitigation unit to conditionally activate the autopilot engine, including to activate the autopilot engine in response to analysis results indicative of the vehicle being potentially operated into the emergency situation manually. Other embodiments are also described and claimed.

Abstract: Technologies for managing interoperable high definition (HD) maps for autonomous vehicles includes a HD map server to distribute interoperable HD map tiles to various autonomous vehicles, each of which may be configured to utilize proprietary HD map tiles of different propriety formats. As such, each of the autonomous vehicles is configured to translate the interoperable HD map tile to the proprietary format used by that particular vehicle. Additionally, each autonomous vehicle may submit crowd-sourced sensor data to the interoperable HD map server using a universal data set by converting the sensor data to a universal data structure.

Abstract: Generally discussed herein are systems, devices, and methods for data management in a reverse content data network (rCDN). A component of the rCDN may include a memory to hold content received from a first sensor device of a plurality of sensor devices of the rCDN and first attributes that describe properties of the content. The component may include processing circuitry to receive second content from a second sensor device of the plurality of sensor devices, the second content including a plurality of second attributes that describe properties of the second content, and forward, in response to a determination, based on the first and second attributes, that there is insufficient space to store the second content on the memory, the second content to a node of the rCDN that is fewer hops away from a backend cloud than the component.

Abstract: Systems, methods, and computer-readable media are provided for managing mutual and transitive trust relationships between resources, such as Fog/Edge nodes, autonomous devices (e.g., IoT devices), and/or analog/biological resources to provide collaborative, trusted communication over a network for service delivery. Disclosed embodiments include a subject resource configured to assign an observed resource to a trust zone based on situational and contextual information. The situational information may indicate a vector of the observed resource with respect to the subject resource. The contextual information may be based in part on whether a relationship exists between the subject resource and the observed resource. The subject resource is configured to determine a trust level of the observed resource based on the determined trust zone. Other embodiments are disclosed and/or claimed.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve boundary excursion detection. An example apparatus to improve boundary excursion detection includes a metadata extractor to parse a first control stream to extract embedded metadata, a metadata label resolver to classify a boundary term of the extracted embedded metadata, a candidate stream selector to identify candidate second control streams that include a boundary term that matches the classified boundary term of the first control stream, and a boundary vector calculator to improve boundary excursion detection by calculating a boundary vector factor based on respective ones of the candidate second control streams that include the classified boundary term.

Abstract: Systems and techniques for service roaming between edge computing platforms are described herein. A service executing on a first edge computing platform may be identified to be migrated to a second edge computing platform. A first service component may be determined that is being executed by the first edge computing platform. Transmission of the service to the second edge platform may be initiated to execute a second service component for execution of the service.

Abstract: System and techniques for trusted lightweight communication in cloud robotics are described herein. A device for trusted lightweight communication in cloud robotics can include a memory having instructions and processing circuitry. When in operation, the processing circuitry can be configured by the instructions to receive a first report from a first device after the first device runs a first algorithm and a second report from a second device after the second device runs the first algorithm with an edge controller. The first algorithm can be stored on a distributed ledger. Consensus between the first device and the second device can be determined by agreement between the first report and the second report. An entry, indicative of consensus between the first device and the second device, can be added to the distributed ledger.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for proactive data routing. An example apparatus includes at least one memory, machine-readable instructions, and processor circuitry to execute the machine-readable instructions to at least execute a machine-learning model to output a first data routing path in a network environment based on metadata associated with an event in the network environment. The processor circuitry is further to, after a detection of a change of the first data routing path to a second data routing path, retrain the machine-learning model to output a third data routing path based on the second data routing path. The processor circuitry is additionally to cause transmission of a second message to a first node based on the third data routing path after an identification of the event.

Abstract: Techniques are disclosed herein for providing guidance for autonomous vehicles in areas of low network connectivity, such as rural areas. According to an embodiment, a guidance system receives a request to exchange data with a vehicle within a specified radius thereof over a wireless connection (e.g., a radio frequency protocol-based connection). The data is stored by the guidance system and is indicative of navigation information within the specified radius. The guidance system transmits the stored data to the vehicle. The guidance system also receives, from the vehicle, data indicative of navigation information for a path previously passed by the vehicle.

Abstract: Apparatus, method and computer readable medium associated with autonomous/semi-autonomous driving are disclosed herein. In embodiments, an apparatus for autonomous/semi-autonomous driving may comprise a management system to be disposed in an autonomous/semi-autonomous vehicle. The management system may include a reservation subsystem to receive, from a cloud server, a reservation of the autonomous or semi-autonomous vehicle for a passenger or a driver, and an access control subsystem to control access to the autonomous or semi-autonomous vehicle that includes a trust function to gain trust of the passenger or driver with respect to the passenger or driver's data privacy requirements will be met, when the passenger or driver attempts to exercise the reservation. Other embodiments may be disclosed or claimed.

Abstract: Apparatuses, storage media and methods associated with computer assisted driving (CAD), are disclosed herein. In some embodiments, an apparatus includes an autopilot engine to automatically pilot the vehicle out of a potential emergency situation, including to automatically pilot the vehicle for a period of time in view of a plurality of operational guardrails determined in real time for each of a plurality of timing windows; and a mitigation unit to conditionally activate the autopilot engine, including to activate the autopilot engine in response to analysis results indicative of the vehicle being potentially operated into the emergency situation manually. Other embodiments are also described and claimed.

Abstract: A communication device for multi-radio access technology (RAT) communications includes one or more processors and a plurality of transceivers. Each transceiver is configured to operate in at least one RAT of a plurality of RATs. The processors are configured to establish connection with a second communication device using a first transceiver of the plurality of transceivers and a first RAT of the plurality of RATs. A first data stream associated with a communication link connected to the second communication device and a third communication device is receive via a convergence function at the second communication device. The communication link uses a second RAT of the plurality of RATs. A code sequence is applied to a second data stream to generate an encoded second data stream, which is transmitted to the third communication device via a second communication link established based on information received via the first data stream.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for data usage monitoring to identify and mitigate ethical divergence. Disclosed example apparatus are to orchestrate resources in an edge environment based on ingested network traffic on an edge network, the ingested network traffic associated with a source node that is to source a target data stream and a target artificial intelligence (AI) application node that is to consume at least a portion of the target data stream. Disclosed example apparatus are also to execute a machine learning model based on the ingested network traffic to generate one or more outputs including at least one a first value representative of a data stream characteristic or a second value representative of an AI application node characteristic, determine the one or more outputs satisfy a threshold value, and generate an alert in response to the one or more outputs satisfying the threshold value.

Abstract: Techniques are disclosed for task priority scheduling and resource allocation of autonomous agents. The scheduling may utilize sensor data characteristics to facilitate scheduling decisions. The present disclosure also provides refinement of task priority scheduling utilizing fleet management information-based scene and environment information, such as by using information available to the fleet management controller.

Abstract: System and techniques for cumulative learning robot execution plan generation are described herein. A first execution plan report based on execution of a first execution plan by a first robot may be received. Here, the first execution plan report includes a first metric for a first operation of the first execution plan. A second execution plan report based on execution of a second execution plan by a second robot may also be received that includes a second metric for a second operation of the second execution plan. Here, the second operation corresponds to the first operation. The first metric and the second metric are analyzed to determine that the second operation is an improvement to the first operation. Then, a modified first execution plan that replaces the first operation with the second operation may be transmitted to the first robot.