Abstract: The present disclosure relates to a tetrahydronaphthalene compound, and a preparation method therefor and the use thereof in medicine. Specifically, the present disclosure relates to a tetrahydronaphthalene compound as represented by general formula (I), a preparation method therefor, a pharmaceutical composition containing the compound, and the use thereof as a therapeutic agent, in particular the use thereof as an estrogen receptor degrader, the use in the preparation of a drug for treating and/or preventing estrogen receptor-mediated or dependent diseases or conditions and the use in the preparation of a drug for treating and/or preventing diseases or conditions by means of degrading a target protein.

Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.

Abstract: Systems and methods for updating navigational maps based using at least one sensor are provided. In one aspect, a control system for an autonomous vehicle, includes a processor and a computer-readable memory configured to cause the processor to: receive output from at least one sensor located on the autonomous vehicle indicative of a driving environment of the autonomous vehicle, retrieve a navigational map used for driving the autonomous vehicle, and detect one or more inconsistencies between the output of the at least one sensor and the navigational map. The computer-readable memory is further configured to cause the processor to: in response to detecting the one or more inconsistencies, trigger mapping of the driving environment based on the output of the at least one sensor, update the navigational map based on the mapped driving environment, and drive the autonomous vehicle using the updated navigational map.

Abstract: The present disclosure provides methods and systems of maintaining a map suitable for guiding autonomous driving. In some embodiments, the method may include receiving a sensor dataset acquired by a sensor subsystem, wherein: the sensor dataset includes information about a road, the sensor subsystem comprises multiple different types of sensors; determining, by a processor, a confidence level by comparing the sensor dataset and the map that includes prior information about the road; in response to determining that the confidence level exceeds a confidence threshold, processing the map by the processor; and storing the processed map as an electronic file, wherein the processed map is configured to guide an autonomous vehicle to operate on the road.

Abstract: Systems and methods for updating navigational maps based using at least one sensor are provided. In one aspect, a control system for an autonomous vehicle, includes a processor and a computer-readable memory configured to cause the processor to: receive output from at least one sensor located on the autonomous vehicle indicative of a driving environment of the autonomous vehicle, retrieve a navigational map used for driving the autonomous vehicle, and detect one or more inconsistencies between the output of the at least one sensor and the navigational map. The computer-readable memory is further configured to cause the processor to: in response to detecting the one or more inconsistencies, trigger mapping of the driving environment based on the output of the at least one sensor, update the navigational map based on the mapped driving environment, and drive the autonomous vehicle using the updated navigational map.

Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.

Abstract: A lidar-based prior map for estimating static objects via deep-learning algorithm is disclosed. In one aspect, a server includes a network communication device configured to communicate with a plurality of autonomous vehicles over a network, a memory, and a processor. The processor is configured to receive LiDAR data from the autonomous vehicles, generate a LiDAR prior map comprising raw data based on the LiDAR data received from each of the autonomous vehicles, merge the raw data into a prior map, the prior map comprising an occupancy grid indicative of locations of static objects within an environment of the autonomous vehicles, and provide the prior map to the autonomous vehicles.

Abstract: Systems and methods for updating navigational maps based using at least one sensor are provided. In one aspect, a control system for an autonomous vehicle, includes a processor and a computer-readable memory configured to cause the processor to: receive output from at least one sensor located on the autonomous vehicle indicative of a driving environment of the autonomous vehicle, retrieve a navigational map used for driving the autonomous vehicle, and detect one or more inconsistencies between the output of the at least one sensor and the navigational map. The computer-readable memory is further configured to cause the processor to: in response to detecting the one or more inconsistencies, trigger mapping of the driving environment based on the output of the at least one sensor, update the navigational map based on the mapped driving environment, and drive the autonomous vehicle using the updated navigational map.

Abstract: A door arrangement for a wind turbine includes a door with an outer side and an inner side and a door locking device for locking and unlocking the closed door by coupling and decoupling the closed door with a stationary component of the door arrangement of the wind turbine, wherein the door locking device includes a central component, an attachment and a connector, wherein the central component is attached to the stationary component by the attachment and connectable and disconnectable with the door by the connector for locking and unlocking the door by a person being at the outer side, wherein the attachment is manually releasable by a person being at the inner side for disconnecting the central component from the stationary component to unlock the door without tools.

Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.

Abstract: The present invention relates to novel “reverse amide” compounds comprising a zinc chelator group, and the use of such compounds in the inhibition of HDAC6 and in the treatment of various diseases, disorders or conditions related to HDAC6.

Abstract: Systems and methods for updating navigational maps based using at least one sensor are provided. In one aspect, a control system for an autonomous vehicle, includes a processor and a computer-readable memory configured to cause the processor to: receive output from at least one sensor located on the autonomous vehicle indicative of a driving environment of the autonomous vehicle, retrieve a navigational map used for driving the autonomous vehicle, and detect one or more inconsistencies between the output of the at least one sensor and the navigational map. The computer-readable memory is further configured to cause the processor to: in response to detecting the one or more inconsistencies, trigger mapping of the driving environment based on the output of the at least one sensor, update the navigational map based on the mapped driving environment, and drive the autonomous vehicle using the updated navigational map.

Abstract: Systems and methods for updating navigational maps based using at least one sensor are provided. In one aspect, a control system for an autonomous vehicle, includes a processor and a computer-readable memory configured to cause the processor to: receive output from at least one sensor located on the autonomous vehicle indicative of a driving environment of the autonomous vehicle, retrieve a navigational map used for driving the autonomous vehicle, and detect one or more inconsistencies between the output of the at least one sensor and the navigational map. The computer-readable memory is further configured to cause the processor to: in response to detecting the one or more inconsistencies, trigger mapping of the driving environment based on the output of the at least one sensor, update the navigational map based on the mapped driving environment, and drive the autonomous vehicle using the updated navigational map.

Abstract: Specifically, the present invention relates to the 6-oxo-1,6-dihydropyridazine prodrug derivative shown in general formula (I), a preparation method therefor, a pharmaceutical composition containing the derivative, a use thereof as a NaV inhibitor, and a use thereof in the preparation of a drug for the treatment and/or prevention of pain and pain-related diseases.

Abstract: A 6-oxo-1,6-dihydropyridazine derivative, a preparation method therefor and medical use thereof, in particular, a 6-oxo-1,6-dihydropyridazine derivative represented by general formula (I), a preparation method therefor, and a pharmaceutical composition containing the derivative, and use thereof as a Nav inhibitor and use thereof in the preparation of a drug for the treatment and/or prevention of pain and pain-related diseases. Each substituent in general formula (I) is the same as defined in the description.

Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.

Abstract: The invention relates to a polyamide compound and a use thereof. Specifically, the invention relates to a type of polyamide compound (which preferably comprise one or more amide bonds formed by condensation of same or different L-amino acids or D-amino acids), or stereoisomers, crystalline polymorphs, solvates, metabolites, prodrugs or pharmaceutically acceptable salts or esters thereof, or pharmaceutical compositions thereof, as well as a method for preparing the polyamide compound and a use thereof in the prevention or treatment of diseases associated with ?-opioid receptor. The polyamide compound of the invention has excellent ?-opioid receptor agonistic activity and hydrophilicity, thus having a lesser ability of penetrating the blood-brain barrier and a lower capacity for entering the brain.

Abstract: The present disclosure provides a storage control method, a storage controller, a storage device, and a storage system. The storage control method controls a storage behavior of a storage device, including: acquiring behavior information of the storage device; processing the behavior information through a deep learning algorithm to obtain a behavior parameter of the storage device; and adjusting an operation mode of the storage device according to the behavior parameter of the storage device. The present disclosure enhances the automatic adjustment operation algorithm of the storage device by means of deep self-learning to adapt to the different requirements of the complex system for the storage device, thereby achieving the storage device with the optimal read/write performance, the best reliability, and the lowest power consumption in accordance with the requirements of the system.

Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.

Abstract: The present application relates to a method for the prevention or treatment of an abnormal cell proliferative disease in a mammal, wherein the method comprises administering to the mammal an effective amount of a 4?-thionucleoside compound or a pharmaceutically acceptable salt, ester, hydrate, solvate thereof, or racemate thereof, or a mixture thereof.