Abstract: System and techniques for vehicle occupant monitoring are described herein. Sensor data, that includes visual image data, is obtained from a sensor array of the vehicle. An object carried by the vehicle is detected from the visual image data. A safety event for the vehicle may be identified based on the object detection and an operational element of the vehicle is altered in response to detecting the safety event.

Abstract: Disclosed herein are systems and methods for cross-domain training of sensing-system-model instances. In an embodiment, a system receives, via a first application programming interface (API), an input-dataset selection identifying an input dataset, which includes a plurality of dataframes that are in a first dataframe format and that have annotations corresponding to one or more sensing tasks performed with respect to the dataframes. The system executes a plurality of dataframe-transformation functions to convert the plurality of dataframes of the input dataset into a predetermined dataframe format. The system trains an instance of a first machine-learning model using the converted dataframes of the input dataset to perform at least a subset of the one or more sensing tasks. The system outputs, via the first API, one or more model-validation metrics pertaining to the training of the instance of the first machine-learning model.

Abstract: Systems and techniques for simulated vehicle operation modeling with real vehicle profiles are described herein. In an example, a simulated vehicle modeling system is adapted to obtain a vehicle performance fingerprint, such as from a vehicle performance fingerprint that includes vehicle performance data collected from a unique vehicle while experiencing real world driving conditions. The simulated vehicle modeling system may be further adapted to present, in a driving simulator, a simulated driving experience with a simulated vehicle, such as for a simulated vehicle that is constructed based on the vehicle performance fingerprint. The simulated vehicle modeling system may be further adapted to update a set of driving directives for an autonomous vehicle based on the simulated driving experience and upload the set of driving directive to an autonomous vehicle.

Abstract: System and techniques for abandoned object detection are described herein. a fence is established about a person and an object is detected within the fence. An entry is created in an object-person relationship data structure to establish a relationship between the person and the object within the fence. Then, the position of the object is monitored until an indication that the fence is terminated is received. If it is detected that the object is outside the fence during the monitoring, the person is alerted.

Abstract: System and techniques for vehicle-based measurement of signal object integrity are described herein. Sensor data of an environment of the vehicle is obtained. A bound for the sensor data for the sensor data is also obtained. Here, the bound corresponds to a signal object (e.g., sign, light, road marking, etc.). A classifier for the signal object is invoked on the sensor data based on the bound. If the classifier produces a result that indicates a problem with the signal object, a representation of the result is communicated.

Abstract: Systems and techniques for mobility-as-a-service for user experience are described herein. An orchestration log may be maintained that includes current orchestration data. An orchestration backup record may be generated that includes alternate MaaS nodes on the MaaS network. It may be determined that connectivity is lost to a first orchestration container hosted by a first MaaS node. An orchestration container is generated using the orchestration log to maintain orchestration functionality. An available second MaaS node is identified from the alternate MaaS nodes. The orchestration container may be transferred to the second MaaS node.

Abstract: Systems and techniques for micro payments in a mobility-as-a-service (MaaS) network are described herein. A mobility task may be received for execution by a MaaS node of the MaaS network. An electronic contract may be established with a requestor of the task. A payment transaction may be initiated based on the mobility task and the electronic contract. The mobility task may be submitted for execution by the MaaS node using resources of the MaaS node. An amount of the payment may be transferred from an electronic account of the requestor to an electronic account of the MaaS node.

Abstract: Disclosure herein are systems and methods for dynamically adjusting infrastructure items, such as street lights, construction signage, and/or other lighting elements. The systems and methods may include receiving environmental data for a sector containing the infrastructure items. A quality of infrastructure effectors located within the sector may be determined. A deviation from a standard infrastructure quality associated with the infrastructure effectors may be determined. A setting of the infrastructure items located in the sector may be changed to minimize the deviation from the standard infrastructure quality.

Abstract: System and techniques for hands-free deployment of geographically linked applications are described herein. A radio transceiver of a vehicle may detect a beacon. Here, the beacon includes an indication that an application linked to a geographical area covered by the beacon is available. The vehicle may establish a secure communications link with an application server corresponding to the beacon and receive, through the secure communications link, an application. Then, the vehicle may execute the application in a protected execution environment without intervention by a user of the vehicle.

Abstract: Various systems and methods for improving connectivity of a Mobility-as-a-Service (MaaS) node are described herein, including categorizing MaaS communication traffic of a MaaS node into different levels of priority and controlling duplication or repetition of the MaaS communication traffic using the categorized level of priority of the MaaS communication traffic.

Abstract: Various systems and methods for collaborative multimodal trip planning are described herein, including receiving a user request for a multi-user transit plan, determining candidate travel paths for first and second users, identifying a merge opportunity in the candidate travel paths to coordinate shared travel between the first and second users, determining adjusted travel paths for the first and second users using the identified merge opportunity, and determining a cost of the adjusted travel paths with respect to the candidate travel paths.

Abstract: Various systems and methods for implementing an assessment and response mechanism for autonomous systems are described herein. An assessment and response system for an autonomous system is configured to access a realm classification of an event; determine a hazard score based on the realm classification, a severity metric, a likelihood metric, an urgency metric, and a confidence level metric; identify, based on the hazard score, a responsive action; and record details of the hazard score determination and the responsive action in a decision ledger.

Abstract: Various systems and methods for implementing a decision architecture for autonomous systems are described herein. An autonomous system framework includes a safety ring configured to interface with safety features of an autonomous system; a security ring configured to provide authentication and verification services to transactions passed through the security ring; a privacy ring configured to ensure privacy of a user of the autonomous system; a trustworthiness ring configured to log and provide transparency of transactions passed through the trustworthiness ring; and a well-being ring configured to interface with the user and provide feedback and information to the user on a state of the autonomous system, wherein: each of the safety, security, privacy, trustworthiness, and well-being rings include at least one interface to at least one other of the safety, security, privacy, trustworthiness, and well-being rings.