Abstract: According to some embodiments, a system receives a captured image perceiving an environment of an ADV from an image capturing device of the ADV. The system identifies an obstacle in motion near the ADV based on the captured image. The system predicts a location for the moving obstacle at each of a number of time points. The system generates a probability ellipse based on the predicted location at the each time point, where the probability ellipse includes a probability indicator indicating different probabilities of the moving obstacle for different locations within the probability ellipse at the each time point.

Abstract: According to some embodiments, a system receives a first control command and a speed measurement of the ADV. The system determines an expected acceleration of the ADV based on the speed measurement and the first control command. The system receives an acceleration measurement of the ADV. The system determines a feedback error based on the acceleration measurement and the expected acceleration. The system updates a portion of the calibration table based on the determined feedback error. The system generates a second control command to control the ADV based on the calibration table having the updated portion to control the ADV autonomously according to the second control command.

Abstract: The described invention is directed to hydrogel-based transparent soils that can provide heterogeneous, aeration, and porous condition for plant growth. The hydrogel beads are highly tailorable in size and porosity providing an environment that is closer to natural soil. Index-matching allows the beads to appear transparent, facilitating the use of imaging and microscopy of the plant root system in vivo.

Abstract: A method to manufacture a semiconductor device includes: bonding a first wafer and a second wafer to be stacked vertically with one another, in which the first wafer provides a plurality of memory components and the second wafer provides a control circuit; forming a plurality of input/output channels on a surface of one of the first and second wafers; and cutting the bonded first and second wafers into a plurality of dices; wherein a plurality of first conductive contacts in the first wafer are electrically connected to the control circuit and the first conductive contacts in combinations with a plurality of first conductive vias in the first wafer form a plurality of transmission channels through which the control circuit is capable to access the memory components.

Abstract: The present disclosure relates to the technical field of battery, and particularly to a battery module. The battery module includes a case body having a cavity, a plurality of battery units accommodated in the cavity of the case body, an output electrode assembly disposed on the case body and electrically connected to output terminals of the plurality of battery units, and an end cap connected to the case body and arranged to press and cover at least a part of the output electrode assembly. The battery module according to the present disclosure has a sound design, through which the airtightness of the output electrode assembly is not liable to be broken during the running of the vehicle.

Abstract: A computer-implemented method, apparatus, and system for receiving and calibrating lateral deviation values and for controlling an autonomous vehicle to correct the lateral deviation is described. In every perception and planning cycle, a single lateral deviation value representative of an estimated autonomous vehicle lateral deviation from a reference line (e.g., corresponding to a center of the lane) is generated based on camera detection. The deviation value for a present cycle is received. A calibrated deviation value can be updated for the present cycle based on the received deviation value and a Gaussian distribution model. Control signals for the present cycle are generated to drive the autonomous vehicle to at least partially correct the autonomous vehicle lateral deviation based on the updated calibrated deviation value.

Abstract: A heating mode control method of an air conditioner, comprises: obtaining an indoor temperature and calculating the difference between the indoor temperature and an indoor target temperature to obtain an indoor temperature difference as air conditioner running at heating mode; performing a coil temperature control process as the indoor temperature difference in a set indoor temperature difference range, wherein the coil temperature control process including: obtaining an indoor coil temperature and controlling the frequency of the compressor according to the indoor coil temperature and a coil target temperature. The application of the method can achieve the purpose of improving the heating effect by increasing the outlet air temperature, thus improving the heating performance of an air-conditioner.

Abstract: In one embodiment, a path for parking is planned in operating an autonomous driving vehicle (ADV). The operations comprises: determining a plurality of sample points; determining a plurality of candidate paths connecting a start point and an end point for parking, each of the candidate paths passing through one of the sample points; determining a cost associated with each of the plurality of candidate paths; determining one or more candidate paths from the plurality of candidate paths that meet a boundary check requirement; selecting as the planned path a candidate path associated with a lowest cost that meets the boundary check requirement; determining a speed profile based on the planned path and an environment of the ADV; and generating driving signals based at least in part on the speed profile to control operations of the ADV to perform parking along the planned path.

Abstract: Provided is an air conditioner compressor operating power detecting method comprises: detecting a compressor driving power supply frequency as the air conditioner running; calculating a drive power supply period T based on the detected drive power supply frequency f wherein the drive power supply period T=1/f; the driving power supply period T is equally divided into n time segments; and in each time segment, respectively sampling a compressor drive voltage, respectively sampling a compressor drive current in each time segment; calculating a voltage reference value U?; calculating a current reference value I?; obtaining a plurality of voltage reference values U?; obtaining a plurality of current reference values I?; calculating a mean voltage reference value Umean, calculating a mean current reference value Imean, calculating a compressor operating power Pcompressor. Another aspect is provided an air conditioner. The invention has advantages of being accurate in calculation.

Abstract: This application discloses a video clip positioning method performed at a computer device. In this application, the computer device acquires a plurality of video frame features of a target video and a text feature of a target text using a video recognition model to determine a candidate clip that can be matched with the target text. The candidate clip is finely divided based on a degree of matching between a video frame in the candidate clip and the target text to acquire a plurality of sub-clips, and a sub-clip that has the highest degree of matching with the target text is used as a target video clip. According to this application, the video recognition model does not need to learn a boundary feature of the target video clip, and during model training, or precisely label a sample video, thereby shortening a training period of the video recognition model.

Abstract: Disclosed is a depth map calculation method and apparatus. The depth map calculation method includes calculating a global sparse depth map corresponding to a current frame using frames including the current frame, calculating a local dense depth map corresponding to the current frame using the current frame, extracting a non-static object region from the current frame by masking a static object region, removing the non-static object region from the global sparse depth map, and generating a global dense depth map corresponding to the current frame by merging the non-static object region-removed global sparse depth map and the local dense depth map.

Abstract: A semiconductor device includes a first semiconductor portion and a second semiconductor portion. The first semiconductor portion provides a plurality of memory components, including a first substrate layer, a plurality of first interconnect conductive layers, a plurality of first conductive vias, and a plurality of first conductive contacts. The first conductive contacts electrically connect to the first conductive vias, and the first conductive contacts in combination with the first conductive vias are formed on a top first interconnect conductive layer of the first interconnect conductive layers. The second semiconductor portion provides a control circuit, including a second substrate layer and a plurality of second interconnect conductive layers.

Abstract: The present disclosure discloses an apparatus and method for distributedly training a model, an electronic device, and a computer readable storage medium. The apparatus may include: a distributed reader, a distributed trainer and a distributed parameter server that are mutually independent. A reader in the distributed reader is configured to acquire a training sample, and load the acquired training sample to a corresponding trainer in the distributed trainer; the trainer in the distributed trainer is configured to perform model training based on the loaded training sample to obtain gradient information; and a parameter server in the distributed parameter server is configured to update a parameter of an initial model based on the gradient information of the distributed trainer to obtain a trained target model.

Abstract: This application relates to the field of artificial intelligence technologies, and in particular, to a training method of an image-text matching model, a bi-directional search method, and a relevant apparatus. The training method includes extracting a global feature and a local feature of an image sample; extracting a global feature and a local feature of a text sample; training a matching model according to the extracted global feature and local feature of the image sample and the extracted global feature and local feature of the text sample, to determine model parameters of the matching model; and determining, by the matching model, according to a global feature and a local feature of an inputted image and a global feature and a local feature of an inputted text, a matching degree between the image and the text.

Abstract: Systems and techniques for leveraging query executions to improve index recommendations are described herein. In an example, a machine learning model is adapted to receive a first query plan and a second query plan for performing a query with a database, where the first query plan is different from the second query plan. The machine learning model may be further adapted to determine execution cost efficiency between the first query plan and the second query plan. The machine learning model is trained using relative execution cost comparisons between a set of pairs of query plans for the database. The machine learning model is further adapted to output a ranking of the first query plan and second query plan, where the first query plan and second query plan are ranked based on execution cost efficiency.

Abstract: An integrated package method for MEMS element and ASIC chip includes forming a re-layout layer on a front surface of an ASIC wafer; coating an organic compound layer on the re-layout layer and applying a lithography process to the organic compound layer to from a microcavity array; aligning and bonding an electrode connection pad layer on a front surface of an MEMS element with the microcavity array to form a closed cavity structure; thinning and exposing a silicon substrate on a back surface of the MEMS element to a desired thickness; applying the lithographic process on the MEMS element to expose the electrode connection pad layer and an electrical contact area of the re-layout layer; and manufacturing a metal connection member connected to the electrode connection pad layer and the electrical contact area. An integrated package structure for MEMS element and ASIC chip is also provided.

Abstract: This application relates to the communications field, and discloses an encoding method, a decoding method, an encoding apparatus, and a decoding apparatus. The encoding method includes: receiving a data bitstream; performing forward error correction FEC encoding on the data bitstream to obtain X Reed-Solomon RS outer codes, where each of the X RS outer codes includes N1 symbols, K1 of the N1 symbols are payload symbols; and performing FEC encoding on the X RS outer codes to obtain Y RS inner codes, where each of the Y RS inner codes includes N2 symbols, K2 of the N2 symbols are payload symbols. According to this application, error correction performance of FEC decoding can be improved.

Abstract: A video query method includes obtaining a media feature of a query media and a static image feature corresponding to a candidate video. The query media includes the target object, and the candidate video includes the moving object. A video feature of the candidate video is determined according to the static image feature and motion time sequence information of the moving object in the candidate video. Whether the moving object in the candidate video is related to the target object in the query media can be determined according to the media feature and the video feature.

Abstract: In one embodiment, a system receives a captured image perceiving an environment of an ADV from an image capturing device of the ADV, where the captured image identifies an obstacle in motion near the ADV. The system generates a feasible area surrounding the moving obstacle based on a projection of the moving obstacle. If the ADV is within the feasible area, the system determines an upper bound velocity limit for the ADV. The system generates a trajectory having a trajectory velocity less than the upper bound velocity limit to control the ADV autonomously according to the trajectory such that if the ADV is within the feasible area the ADV is to decelerate.

Abstract: According to one embodiment, a system receives a captured image perceiving an environment of an ADV from an image capturing device of the ADV capturing a plurality of obstacles near the ADV. The system generates a first tunnel based on a width of a road lane for the ADV, where the first tunnel represents a passable lane for the ADV to travel through. The system generates one or more additional tunnels based on locations of the obstacles, where the one or more additional tunnels modify a width of the passable lane according to a level of invasiveness of the obstacles. The system generates a trajectory of the ADV based on the first and the additional tunnels to control the ADV according to the trajectory to navigate around the obstacles without collision.