Abstract: A method is provided that includes: obtaining a first state information of the remote driving system, where the remote driving system is configured to perform remote control on a vehicle communicatively connected with the remote driving system; determining whether an abnormality occurs in the remote driving system based on the first state information; determining abnormality information of the remote driving system in response to the occurrence of the abnormality in the remote driving system; and adjusting a state of the remote control based on the abnormality information.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for generating a simulation scene. The method includes: acquiring scene parameters of a benchmark scene, where a dimensionality of the scene parameters of the benchmark scene is M; inputting the scene parameters of the benchmark scene into an encoder that is trained, and acquiring encoding parameters according to an output result of the encoder, where a dimensionality of the encoding parameters is N, and N<M; adjusting the encoding parameters to obtain adjusted encoding parameters, and inputting respectively the adjusted encoding parameters into a decoder that is trained; and generating a simulation scene according to the scene parameters of the reconstructed scene that are output by the decoder. According to the method, generating massive simulation scenes similar to the benchmark scene based on the benchmark scene can be achieved, which meets the diversity requirements for the simulation scenes.

Abstract: Disclosed is a nitrogen-containing heterocyclic compound, a method for preparing the same and a use of the same. The present disclosure provides a nitrogen-containing heterocyclic compound of formula I, a pharmaceutically acceptable salt thereof, a stereoisomer thereof, a tautomer thereof or an isotopically labeled compound thereof, and the nitrogen-containing heterocyclic compound is expected to treat and/or prevent various RAS-related diseases.

Abstract: Embodiments of a method, apparatus, device and computer readable storage medium for classifying driving scenario data includes: acquiring a first driving scenario data set from a crowdsourcing platform, driving scenario data in the first driving scenario data set having been classified; generating a driving scenario classification model at least based on the first driving scenario data set, for classifying driving scenario data collected by a collection entity; acquiring a rule for classifying the driving scenario data, the rule is generated based on a result of classifying the driving scenario data collected by the collection entity using the driving scenario classification model; updating the driving scenario classification model at least based on the rule.

Abstract: Disclosed is a five-membered heteroaromatic ring structure containing compound, pharmaceutical compositions thereof and applications thereof. The present disclosure provides a five-membered heteroaromatic ring structure containing compound of formula I, pharmaceutical compositions thereof and applications thereof and the five-membered heteroaromatic ring structure containing compound is expected to treat and/or prevent various PARG-related diseases.

Abstract: Disclosed is a nitrogen-containing heterocyclic compound, a preparation method therefor and use thereof. The present disclosure provides a nitrogen-containing heterocyclic compound of formula I, a pharmaceutically acceptable salt thereof, a stereoisomer thereof, a tautomer thereof or an isotopically labeled compound thereof, and the nitrogen-containing heterocyclic compound is expected to treat and/or prevent various RAS-related diseases.

Abstract: Disclosed are an aromatic heterocyclic compound, an intermediate thereof, a preparation method therefor, and a pharmaceutical composition and use thereof. The aromatic heterocyclic compound of the present invention is a new ALK5 inhibitor, and is used for treating and/or preventing various ALK5-mediated diseases.

Abstract: Provided in the present application are an aromatic heterocyclic substituted olefin compound, a preparation method for same, a pharmaceutical composition of same, and applications thereof. The aromatic heterocyclic substituted olefin compound of the present invention is a novel ALK5 inhibitor and is for use in treating and/or preventing various ALK5-mediated diseases.

Abstract: A method for remote control of an autonomous driving vehicle (ADV) includes: sending an assistance request to a cloud server in response to detecting that a current road section in front of the ADV is unable to be passed; obtaining a reference detour route returned from the cloud server; generating control instructions based on the reference detour route and a current driving environment of the ADV; and controlling the ADV based on the control instructions.

Abstract: An image processing method in remote control, a device, an apparatus and a program product are provided and related to the field of automatic driving technologies. The specific implementation solution includes receiving image information sent by a vehicle, wherein the image information includes multiple-channel image data collected by the vehicle; performing a stitching process on the multiple-channel image data, to obtain a stitched image; sending the stitched image to a remote cockpit apparatus for controlling the vehicle.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for generating a simulation scene. The method includes: acquiring scene parameters of a benchmark scene, where a dimensionality of the scene parameters of the benchmark scene is M; inputting the scene parameters of the benchmark scene into an encoder that is trained, and acquiring encoding parameters according to an output result of the encoder, where a dimensionality of the encoding parameters is N, and N<M; adjusting the encoding parameters to obtain adjusted encoding parameters, and inputting respectively the adjusted encoding parameters into a decoder that is trained; and generating a simulation scene according to the scene parameters of the reconstructed scene that are output by the decoder. According to the method, generating massive simulation scenes similar to the benchmark scene based on the benchmark scene can be achieved, which meets the diversity requirements for the simulation scenes.

Abstract: A remote control method, an electronic device, a cab, a cloud server and an autonomous vehicle are provided. The method includes: receiving first remote control request information sent by a cloud, the first remote control request information is sent by the cloud after receiving second remote control request information sent by the vehicle to the cloud; sending a control parameter synchronization signal of a cab to the cloud such that the cloud sends the control parameter synchronization signal to the vehicle, so that the vehicle synchronizes the control parameter with the cab; sending verification information for taking over vehicle control to the cloud to enable the cloud to switch on a control channel between the vehicle and the cab; and sending a control signal by the cab against the vehicle and receiving a response signal from the vehicle against the control signal through the control channel.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for generating a simulation scene. The method includes: acquiring scene parameters of a benchmark scene, where a dimensionality of the scene parameters of the benchmark scene is M; inputting the scene parameters of the benchmark scene into an encoder that is trained, and acquiring encoding parameters according to an output result of the encoder, where a dimensionality of the encoding parameters is N, and N<M; adjusting the encoding parameters to obtain adjusted encoding parameters, and inputting respectively the adjusted encoding parameters into a decoder that is trained; and generating a simulation scene according to the scene parameters of the reconstructed scene that are output by the decoder. According to the method, generating massive simulation scenes similar to the benchmark scene based on the benchmark scene can be achieved, which meets the diversity requirements for the simulation scenes.

Abstract: The present disclosure provides a method and apparatus for simulation test of autonomous driving of a vehicle, an apparatus and a computer-readable storage medium. In embodiments of the present disclosure, a simulation-activating command is sent to the at least two simulation nodes so that each simulation node in the at least two simulation nodes simulates the designated traffic environment and runs the corresponding vehicle decision planning algorithm, then the vehicle state data and the vehicle decision route of said each simulation node are obtained so that the vehicle state data and the vehicle decision route of said each simulation node can be output.

Abstract: Disclosed are an aromatic heterocyclic compound, an intermediate thereof, a preparation method therefor, and a pharmaceutical composition and use thereof. The aromatic heterocyclic compound of the present invention is a new ALK5 inhibitor, and is used for treating and/or preventing various ALK5-mediated diseases.

Abstract: Provided in the present application are an aromatic heterocyclic substituted olefin compound, a preparation method for same, a pharmaceutical composition of same, and applications thereof. The aromatic heterocyclic substituted olefin compound of the present invention is a novel ALK5 inhibitor and is for use in treating and/or preventing various ALK5-mediated diseases.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for generating a simulation scene. The method includes: acquiring scene parameters of a benchmark scene, where a dimensionality of the scene parameters of the benchmark scene is M; inputting the scene parameters of the benchmark scene into an encoder that is trained, and acquiring encoding parameters according to an output result of the encoder, where a dimensionality of the encoding parameters is N, and N<M; adjusting the encoding parameters to obtain adjusted encoding parameters, and inputting respectively the adjusted encoding parameters into a decoder that is trained; and generating a simulation scene according to the scene parameters of the reconstructed scene that are output by the decoder. According to the method, generating massive simulation scenes similar to the benchmark scene based on the benchmark scene can be achieved, which meets the diversity requirements for the simulation scenes.

Abstract: Some embodiments of the present disclosure relate to a method and apparatus for processing a data sequence. An implementation of the method includes: generating a Hankel matrix based on a to-be-processed data sequence, the to-be-processed data sequence including zigzag noise; performing singular value decomposition on the Hankel matrix to obtain a left singular matrix, a singular value vector, and a right singular matrix, components of each dimension of the singular value vector being ordered from large to small; determining a noise component in each component of the singular value vector; zeroing each dimension of noise component in the singular value vector; generating a reconstructed Hankel matrix based on the left singular matrix, the singular value vector after zeroing, and the right singular matrix; and generating a processed data sequence based on the reconstructed Hankel matrix.

Abstract: Embodiments of a method, apparatus, device and computer readable storage medium for classifying driving scenario data includes: acquiring a first driving scenario data set from a crowdsourcing platform, driving scenario data in the first driving scenario data set having been classified; generating a driving scenario classification model at least based on the first driving scenario data set, for classifying driving scenario data collected by a collection entity; acquiring a rule for classifying the driving scenario data, the rule is generated based on a result of classifying the driving scenario data collected by the collection entity using the driving scenario classification model; updating the driving scenario classification model at least based on the rule.

Abstract: Disclosed area fused ring pyrimidine compound, and an intermediate, a preparation method, a composition and a use thereof. The fused ring pyrimidine compound is a compound as shown in formula I, a tautomer, an enantiomer, a diastereoisomer, a pharmaceutically acceptable salt, a metabolite, a metabolic precursor or a prodrug thereof, wherein the above-mentioned compound is used for the preparation of a medicine for preventing, remitting or treating one or more of immune system diseases, autoimmune diseases, cell proliferative diseases, allergic disorders and cardiovascular diseases, and the compound has a strong inhibitory effect on the Janues kinase, FGFR kinase, FLT3 kinase and Src family kinase.