Abstract: A method for quantum key fusion-based virtual power plant security communication includes: identity authentication, performing identity authentication between a client and a server in a virtual power plant based on a communication requirement to acquire a root key; key distribution: generating a key encryption key and a message authentication key based on the acquired root key and performing negotiation on a data encryption key to obtain the data encryption key; and data encryption: encrypting to-be-encrypted data using the data encryption key, and implementing communication of the data. During the identity authentication or the key distribution, negotiation on a quantum key is performed by a quantum key server, and the quantum key obtained by the negotiation is used for implementing the identity authentication or used as the data encryption key. A device for quantum key fusion-based virtual power plant security communication and a computer storage medium are provided.

Abstract: Systems and methods for analyzing a driver's brake behavior are provided. In some aspects, the system includes a memory that stores instructions for executing processes for analyzing the driver's brake behavior, and a processor configured to execute the instructions. In aspects, the processes include: receiving data from one or more multi-modal sensors, determining whether each braking event of a plurality of braking events is a hard braking event; analyzing the one or more physiological signals of the driver to determine whether each of the hard braking events is a reactive hard braking event or an intended hard braking event; applying a Lasso regression analysis and a classification framework for each of the hard braking events to identify features that indicate whether a respective hard braking event is a reactive hard braking event or an intended hard braking event; and generating a signal notifying a vehicle of the features.

Abstract: Systems and methods for analyzing a driver's brake behavior are provided. In some aspects, the system includes a memory that stores instructions for executing processes for analyzing the driver's brake behavior, and a processor configured to execute the instructions. In aspects, the processes include: receiving data from one or more multi-modal sensors, determining whether each braking event of a plurality of braking events is a hard braking event; analyzing the one or more physiological signals of the driver to determine whether each of the hard braking events is a reactive hard braking event or an intended hard braking event; applying a Lasso regression analysis and a classification framework for each of the hard braking events to identify features that indicate whether a respective hard braking event is a reactive hard braking event or an intended hard braking event; and generating a signal notifying a vehicle of the features.

Abstract: The systems and methods provided herein are directed to the uploading and transmission of vehicle data to a remote system when a physiological event for a driver has been detected using one or more sensors. Information such as the driver's heart rate, temperature, voice inflection or facial expression may be monitored to detect the physiological event. Vehicle data, such as gathering or control system data, may be sent once the event has been detected. Selected vehicle data associated with the event or all data during the time of the event may be sent. After receiving the vehicle data, the remote system may process or store it where it may be used to modify automated driving functionalities.