Abstract: Disclosed are a self-assembled nanoparticle containing a gB protein of an EB virus and a preparation method and use thereof The self-assembled nanoparticle comprises a first polypeptide and a second polypeptide; the first polypeptide comprises the gB protein and a first vector subunit, the second polypeptide comprises a second vector subunit; the first vector subunit is I53-50A1, and the second vector subunit is I53-50B.4PT1. In the self-assembled nanoparticle provided herein, the gB protein of the EB virus is displayed on the surface of the nanoparticle for the first time. The particle size of the self-assembled nanoparticle is larger than that of the antigen gB, and the chemical stability of the self-assembled nanoparticle is higher than that of the antigen gB, and the binding capacity with the neutralizing antibody of the self-assembled nanoparticle are higher than that of the antigen gB.

Abstract: System and techniques for test verification of a control system (e.g., a vehicle safety system) with a vehicle operation safety model (VOSM) such as Responsibility Sensitive Safety (RSS) are described. In an example, using test scenarios to measure performance of VOSM includes: defining safety condition parameters of a VOSM for use in a test scenario configured to test performance of a safety system; generating a test scenario, using the safety condition parameters, the test scenario generated as a steady state test, a dynamic test, or a stress test; executing the test scenario with a test simulator, to produce test results for the safety system; measuring real-time kinematics of the safety system, during execution of the test scenario, based on compliance with the safety condition parameters; and producing a parameter rating for performance of the safety system with the VOSM, based on the test results and the measured real-time kinematics.

Abstract: System and techniques for vehicle operation safety model (VOSM) grade measurement are described herein. A data set of parameter measurements-defined by the VOSM-of multiple vehicles are obtained. A statistical value is then derived from a portion of the parameter measurements. A measurement from a subject vehicle is obtained that corresponds to the portion of the parameter measurements from which the statistical value was derived. The measurement is then compared to the statistical value to produce a safety grade for the subject vehicle.

Abstract: Various aspects of methods, systems, and use cases for critical scenario identification and extraction from vehicle operations are described. In an example, an approach for lightweight analysis and detection includes capturing data from sensors associated with (e.g., located within, or integrated into) a vehicle, detecting the occurrence of a critical scenario, extracting data from the sensors in response to detecting the occurrence of the critical scenario, and outputting the extracted data. The critical scenario may be specifically detected based on a comparison of the operation of the vehicle to at least one requirement specified by a vehicle operation safety model. Reconstruction and further data processing may be performed on the extracted data, such as with the creation of a simulation from extracted data that is communicated to a remote service.

Abstract: Various aspects of methods, systems, and use cases for safety logging in a vehicle are described. In an example, an approach for data logging in a vehicle includes use of logging triggers, public and private data buckets, and defined data formats, for data provided during autonomous vehicle operation. Data logging operations may be triggered in response to safety conditions, such as detecting a dangerous situation from a failure of the vehicle to comply with safety criteria of a vehicle operational safety model. Data logging operations may include logging data in response to detection of the dangerous situation, including storage of a first portion of data in a public data store, and storage of a second portion of privacy-sensitive data in a private data store, where the data stored in the private data store is encrypted, and where access to the private data store is controlled.

Abstract: System and techniques for test scenario verification, for a simulation of an autonomous vehicle safety action, are described. In an example, measuring performance of a test scenario used in testing an autonomous driving safety requirement includes: defining a test environment for a test scenario that tests compliance with a safety requirement including a minimum safe distance requirement; identifying test procedures to use in the test scenario that define actions for testing the minimum safe distance requirement; identifying test parameters to use with the identified test procedures, such as velocity, amount of braking, timing of braking, and rate of acceleration or deceleration; and creating the test scenario for use in an autonomous driving test simulator. Use of the test scenario includes applying the identified test procedures and the identified test parameters to identify a response of a test vehicle to the minimum safe distance requirement.

Abstract: System and techniques for vehicle operation safety model (VOSM) compliance measurement are described herein. A subject vehicle is tested in a vehicle following scenario against VOSM parameter compliance. The test measures the subject vehicle activity during phases of the following scenario in which a lead vehicle slows and produces log data and calculations that form the basis of a VOSM compliance measurement.

Abstract: System and techniques for vehicle operation safety model (VOSM) compliance measurement are described herein. A subject vehicle is tested in a vehicle following scenario against VOSM parameter compliance. The test measures the subject vehicle activity during phases of the following scenario in which a lead vehicle slows and produces log data and calculations that form the basis of a VOSM compliance measurement.

Abstract: The present disclosure relates to real-time localization error correction of an autonomous vehicle (AV). A processor for real-time localization error correction of the AV is provided. The processor is configured to retrieve a reference landmark around the AV from a map aggregating server (MAS), wherein the AV is configured to interact with the MAS for real-time localization; detect, in real time, a ground truth landmark corresponding to the reference landmark, according to image data captured by one or more image capture devices installed on the AV; and determine a deviation between the ground truth landmark and the reference landmark as a real-time correction value for the real-time localization of the AV.

Abstract: System and techniques for vehicle operation safety model (VOSM) compliance measurement are described herein. A subject vehicle is tested in a vehicle following scenario against VOSM parameter compliance. The test measures the subject vehicle activity during phases of the following scenario in which a lead vehicle slows and produces log data and calculations that form the basis of a VOSM compliance measurement.

Abstract: System and techniques for test scenario verification, for a simulation of an autonomous vehicle safety action, are described. In an example, measuring performance of a test scenario used in testing an autonomous driving safety requirement includes: defining a test environment for a test scenario that tests compliance with a safety requirement including a minimum safe distance requirement; identifying test procedures to use in the test scenario that define actions for testing the minimum safe distance requirement; identifying test parameters to use with the identified test procedures, such as velocity, amount of braking, timing of braking, and rate of acceleration or deceleration; and creating the test scenario for use in an autonomous driving test simulator. Use of the test scenario includes applying the identified test procedures and the identified test parameters to identify a response of a test vehicle to the minimum safe distance requirement.

Abstract: One or more processors may be configured to determine one or more prospective routes of an ego vehicle being at least partially controlled by a human driver; receive first sensor data, representing one or more attributes of a second vehicle; determine a danger probability of the one or more prospective routes of the first vehicle using the at least the one or more attributes of the second vehicle from the first sensor data; and if each of the one or more prospective routes of the first vehicle has a danger probability outside of a predetermined range, send a signal representing a safety intervention. Whenever a safety intervention signal is sent, the one or more processors may be configured to increment or decrement a counter.

Abstract: Embodiments of the present disclosure provide devices, techniques, and configurations for network interface controllers (NICs) that log write packets received from a network in non-volatile random access memory (NVRAM). In one embodiment, a NIC includes a network interface to couple a host of the NIC to a network, a NVRAM, and a controller coupled with the network interface and the NVRAM, where the controller is to log write packets received at the network interface from the network in the NVRAM. Other embodiments may be described and/or claimed.

Abstract: A safety system (200) for a vehicle (100) is provided. The safety system (200) may include one or more processors (102). The one or more processors (102) may be configured to control a vehicle (100) to operate in accordance with the predefined stored driving model parameters, to detect vehicle operation data during the operation of the vehicle (100), to determine whether to change predefined driving model parameters based on the detected vehicle operation data and the driving model parameters, to change the driving model parameters to changed driving model parameters, and to control the vehicle (100) to operate in accordance with the changed driving model parameters.

Abstract: The present disclosure relates to real-time localization error correction of an autonomous vehicle (AV). A processor for real-time localization error correction of the AV is provided. The processor is configured to retrieve a reference landmark around the AV from a map aggregating server (MAS), wherein the AV is configured to interact with the MAS for real-time localization; detect, in real time, a ground truth landmark corresponding to the reference landmark, according to image data captured by one or more image capture devices installed on the AV; and determine a deviation between the ground truth landmark and the reference landmark as a real-time correction value for the real-time localization of the AV.

Abstract: An embodiment of a memory apparatus may include a logger to log memory access data in persistent storage media, a log indexer communicatively coupled to the logger to index the memory access log data in an index table in a system memory, and a key compressor communicatively coupled to the log indexer to compress an index key for the index table. Other embodiments are disclosed and claimed.

Abstract: An embodiment of a memory apparatus may include a logger to log memory access data in persistent storage media, a log indexer communicatively coupled to the logger to index the memory access log data in an index table in a system memory, and a key compressor communicatively coupled to the log indexer to compress an index key for the index table. Other embodiments are disclosed and claimed.

Abstract: Examples may include techniques for storing or accessing a key-value (KV) item stored in a memory that is part of a memcached system. A KV server coupled with a network input/output device may be capable of allocating one or more item slots from the memory and indicating to logic or features of the network input/output device whether the KV item is stored in a single allocated item slot of the memory, accessible via multiple allocated item slots of the memory or whether the KV item is being updated.

Abstract: Embodiments of the present disclosure provide devices, techniques, and configurations for network interface controllers (NICs) that log write packets received from a network in non-volatile random access memory (NVRAM). In one embodiment, a NIC includes a network interface to couple a host of the NIC to a network, a NVRAM, and a controller coupled with the network interface and the NVRAM, where the controller is to log write packets received at the network interface from the network in the NVRAM. Other embodiments may be described and/or claimed.

Abstract: Provided is an apparatus directing to a speculative read mechanism for a distributed storage system. The apparatus includes a remote direct memory access (RDMA) network interface card (RNIC) (100) for a server (250), wherein the RNIC (100) includes an onboard memory (105), a trigger control (120) and a port for connection of the RNIC (100) to a client (200). The onboard memory (105) is operable to provide a buffer (110) for storage of data from a distributed storage system for a read request from the client (200). The trigger control (120) includes a programmable trigger condition. The RNIC (100) is operable to support a speculative read of data in response to a read request snoop of a write of data to the onboard memory (105), and upon detecting the trigger condition, to provide the data in the buffer to the client (200).