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: A positive electrode active material includes LiaAxMn1-yByP1-zCzO4-nDn. A includes one or more selected from group IA, group IIA, group IIIA, group IIB, group VB, and group VIB. B includes one or more selected from group IA, group IIA, group IIIA, group IVA, group VA, group IIB, group IVB, group VB, group VIB, and group VIII. C includes one or more selected from group IIIA, group IVA, group VA and group VIA. D includes one or more selected from group VIA and group VIIA. a is selected from 0.85 to 1.15. x is selected from 0 to 0.1. y is selected from 0.001 to 0.999. z is selected from 0 to 0.5. n is selected from 0 to 0.5.

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: An organic-inorganic hybrid porous material. The organic-inorganic hybrid porous material contains a doping element A are provided. In some emodiments, the element A is one or more selected from: Li, Na, K, Rb, Cs, Sr, Zn, Mg, Ca, or any combination thereof. An external specific surface area of the organic-inorganic hybrid porous material is 1 to 100 m2/g. A ratio of the external specific surface area to a total specific surface area of the organic-inorganic hybrid porous material is 0.7 to 0.9.

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: A layered-oxide positive electrode active material may have a molecular formula of NaxMnaFebNicMdNeO2-?Qf, where a doping element M is selected from at least one of Cu, Li, Ti, Zr, K, Sb, Nb, Mg, Ca, Mo, Zn, Cr, W, Bi, Sn, Ge, or Al, a doping element N is selected from at least one of Si, P, B, S, or Se, a doping element Q is selected from at least one of F, Cl, or N, 0.66?x?1, 0<a?0.70, 0<b?0.70, 0<c?0.23, 0?d<0.30, 0?e?0.30, 0?f?0.30, 0???0.30, a+b+c+d+e=1, 0<e+f?0.30, 0<(e+f)/a?0.30, 0.20?d+e+f?0.30, and (b+c)/a?1.5.

Abstract: Embodiments of the present application provide a Prussian blue-like transition metal cyanide, a preparation method therefor, and related positive electrode plate, secondary battery, battery pack and device. The Prussian blue-like transition metal cyanide may comprise secondary particles which comprise a plurality of primary particles, wherein the primary particles may have a spherical or spherical-like morphology.

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: An electrode plate, a secondary battery and a preparation method therefor, and a device comprising the secondary battery are provided. In some embodiments, the electrode plate comprises a current collector and an active material layer provided on at least one surface of the current collector, wherein the active material layer comprises an active material and a solid water-fixing agent capable of fixing water.

Abstract: An oscillating fluidic pressure pulse generator, includes: an outer tube, an upper connector, a lower connector and a vortex fluidic oscillator. A first central fluid channel and a second central fluid channel are respectively formed in the upper connector and the lower connector, two ends of the outer tube are respectively connected to the upper connector and the lower connector through a screw thread, and the vortex fluidic oscillator is provided in the outer tube and abuts against the upper connector and the lower connector; and the vortex fluidic oscillator is provided with an inlet and connected to a fluidic oscillating chamber, two flow guiding blocks are arranged below the fluidic oscillating chamber, a vortex chamber inlet is formed between the two flow guiding blocks, two control channels are respectively formed outside the two flow guiding blocks, a vortex chamber is provided below the vortex chamber inlet.

Abstract: The present application provides an organic-inorganic hybrid complex which can be used in a coating of a separator for a secondary battery, wherein the organic-inorganic hybrid complex is formed from basic units represented by formula (I) being periodically assembled in at least one spatial direction: [Lx-i?i][MaCb].Az (I), wherein a defect percentage expressed in i/x*100% is 1% to 30%. The present application further provides a coating composition comprising the organic-inorganic hybrid complex, a coating formed from the coating composition, a separator comprising the coating for a secondary battery, a secondary battery comprising the separator, a battery module, a battery pack and a device. By applying the organic-inorganic hybrid complex of the present application in a coating, the electrolyte infiltration of a separator for a secondary battery is improved while increasing the electrolyte retention rate, thereby improving the rate capability and cycling life of the secondary battery.

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: A prussian blue analog having a core-shell structure, which has a core and a cladding layer that dads the core, wherein the chemical formula of the core is the following Formula 1, NaxP[R(CN)6]?.zH2O and the chemical formula of the cladding layer is the following Formula 2, AyL[M(CN)6]?.wH2O is described. The prussian blue analog has good storage stability, and thus can greatly reduce the manufacturing cost at the subsequent battery cell level. A method for preparing the prussian blue analog having a core-shell structure, as well as a sodium-ion secondary battery, a battery module, a battery pack and a powered device comprising the same are described.

Abstract: A method for performing view displaying on a table, a device for performing view displaying on a table, and an electronic device are provided. The method includes: receiving an editing instruction of a user on a target image bar in a target view, where the target view is generated based on target data in a preset data table; and editing the target image bar based on the editing instruction.

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.