Abstract: The present application relates to a conveniently storable children height-increasing stool, which includes two side plates, at least one support plate connected between the two side plates, a folding assembly having two auxiliary support feet, and a limiting device disposed between the side plates and the folding assembly. The folding assembly can achieve rotational connection with the side plates, the auxiliary support feet can be fully stacked against inner sides or outer sides of the side plates. This significantly reduces the occupied volume, and facilitates upright storage in compact bathroom space or packing into travel bags. It is enabled to form multiple stepped stepping surfaces, which facilitates adaptation to children of different heights and various toilet heights. Furthermore, the folding assembly can form a stable planar support structure together with the side plates, thereby ensuring stability when a child is standing and reducing the risk of tipping.

Abstract: Provided is a method for object detection in a surrounding of a vehicle using a deep neural network, comprising: inputting a first set of sensor-based data for a first Cartesian grid having a first spatial dimension and a first spatial resolution into a first branch of the deep neural network; inputting a second set of sensor-based data for a second Cartesian grid having a second spatial dimension and a second spatial resolution into a second branch of the deep neural network; providing an interaction between the first branch of the deep neural network and the second branch of the deep neural network at an intermediate stage of the deep neural network; and fusing a first output of the first branch of the deep neural network and a second output of the second branch of the deep neural network to detect the object in the surrounding of the vehicle.

Abstract: In one embodiment, an apparatus includes: a receiver pad to receive an incoming radio frequency (RF) signal; a first inductor coupled to the receiver pad; a second inductor coupled to the first inductor at an inter-inductor node; a first electrostatic discharge (ESD) circuit coupled to the inter-inductor node; a second ESD circuit coupled to the second inductor; a low noise amplifier (LNA) coupled to the second inductor to receive and amplify the incoming RF signal; a transmit-receive (TR) switch coupled to the LNA, where in a receive mode, the TR switch is to enable the LNA to receive the incoming RF signal; a transmit pad to output an outgoing RF signal; and a power amplifier (PA) coupled to the transmit pad, where in a transmit mode, the TR switch is to decouple the LNA.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying skippable segments within videos. One of the methods includes receiving, during playback of a video on a display of a device of a user, a user input at a first timestamp of the video; in response to receiving the user input at the first timestamp of the video, determining whether the first timestamp is associated with a skippable segment within the video; and in response to determining that the first timestamp is associated with a skippable segment within the video, identifying a second timestamp associated with the skippable segment of the video as a skip location.

Abstract: A computer implemented method for detecting objects includes providing signal representation data comprising range information, velocity information and angular information; for each of a plurality of spatial scales, determining respective scaled data for the respective spatial scale based on the signal representation data, to obtain a plurality of scaled data; providing the plurality of scaled data to a plurality of detectors; and each detector carrying out object detection based on at least one of the plurality of scaled data.

Abstract: A computer implemented method for detection of objects in a vicinity of a vehicle comprises the following steps carried out by computer hardware components: acquiring radar data from a radar sensor; determining a plurality of features based on the radar data; providing the plurality of features to a single detection head; and determining a plurality of properties of an object based on an output of the single detection head.

Abstract: In one aspect, an apparatus includes: a first amplifier coupled to a first node of a receiver signal processing path, the first amplifier to receive and amplify a radio frequency (RF) signal; a first resistive attenuator coupled to the first node, the first resistive attenuator programmable to reduce a level of the RF signal; a second amplifier coupled in parallel with the first amplifier, the second amplifier to receive and amplify the RF signal; and a second attenuator coupled between the first node and the second amplifier, the second attenuator programmable to reduce the level of the RF signal.

Abstract: A method is provided for assigning a bounding box to an object in an environment of a vehicle. Data related to objects located in the environment of the vehicle are acquired via a sensor. Based on the data, a respective spatial location and a respective size of a plurality of preliminary bounding boxes are determined such that each preliminary bounding box covers one of the objects at least partly. A respective velocity of each preliminary bounding box is estimated based on the data. A subset of the plurality of preliminary bounding boxes being related to a respective one of the objects is selected, where the subset is selected based on the respective velocity of each of the preliminary bounding boxes. A final bounding box is assigned to the respective one of the objects by merging the preliminary bounding boxes of the corresponding subset.

Abstract: A method of processing image data in a connectionist network comprises a plurality of units, wherein the method implements a multi-channel unit forming a respective one of the plurality of units, and wherein the method comprises: receiving, at the data input, a plurality of input picture elements representing an image acquired by means of a multi-channel image sensor, wherein the plurality of input picture elements comprise a first and at least a second portion of input picture elements, wherein the first portion of input picture elements represents a first channel of the image sensor and the second portion of input picture elements represents a second channel of the image sensor; processing of the first and at least second portion of input picture elements separately from each other; and outputting, at the data output, the processed first and second portions of input picture elements.

Abstract: A computer implemented method for determining information related to an environment of a vehicle comprises the following steps carried out by computer hardware components: determining a point cloud based on measurement data, the point cloud comprising a plurality of points; determining respective features for each point of the point cloud; determining a grid structure based on the point cloud; determining a processed grid structure based on processing the grid structure using an artificial neural network; and determining at least one final grid structure based on the point cloud, the respective features for each point of the point cloud, and the processed grid structure.

Abstract: A battery box, a battery and an electrical device. The battery box includes side plates and a bottom plate. The side plates are disposed on the bottom plate around a periphery of the bottom plate. The bottom plate is provided with a cavity. The cavity is internally provided with partition pieces. The partition pieces partition the cavity into at least two flow channels introduced along a first introducing direction. Since the flow channels have the same introducing direction, heat exchange working media in the cavity divided by the flow channels can separately and simultaneously exchange heat with battery cells arranged in a direction intersecting the first introducing direction, and the heat exchange of the battery cells is uniform, which can reduce the temperature difference between the battery cells.

Abstract: The present disclosure provides an intelligent reflection surface, a signal sending method and apparatus, and a storage medium, and belong to the field of wireless communication. In embodiments of this application, the intelligent reflection surface receives adjustment information sent by a first wireless device, and adjusts an on/off state of the intelligent reflection surface based on the adjustment information.

Abstract: A computer implemented method for object detection the following steps carried out by computer hardware components: determining an output of a first pooling layer based on input data; determining an output of a dilated convolution layer, provided directly after the first pooling layer, based on the output of the first pooling layer; determining an output of a second pooling layer, provided directly after the dilated convolution layer, based on the output of the dilated convolution layer; and carrying out the object detection based on at least the output of the dilated convolution layer or the output of the second pooling layer.

Abstract: Disclosed in the present application are a signal continuous coverage method, device and apparatus for a target area, and an antenna system.

Abstract: Disclosed are a dual-motor multi-gear hybrid transmission system and a vehicle. The dual-motor multi-gear hybrid transmission system includes an engine, a first motor, a second motor, a first clutch, a second clutch, a first planet row, a second planet row, a first input shaft, a second input shaft, a third input shaft and a brake assembly. The first input shaft is connected to the engine through the first clutch. The second input shaft is connected to the engine through the second clutch, and the second input shaft is sleeved outside the first input shaft. The first motor is connected to the engine. The second motor is connected to the first planet row through the third input shaft. The brake assembly is configured to brake the first planet row and/or the second planet row.

Abstract: A method for enhancing network coverage based on adaptive generation of resource cell. A traditional cell in a network is taken as an initial state of the network. A correlation matrix in a current network state is generated. Whether |?i,jt??i,jt-1|/?i,jt-1>? is determined. Each access point is divided into a plurality of resource cells. A CU-DU network mapping table is generated. A middlehaul link of each of the plurality of resource cells is constructed according to the CU-DU network mapping table.

Abstract: In some embodiments, the present disclosure provides an algorithm for a data-driven intelligent adaptive model of an automobile cab based on a biometric identification technology. The algorithm includes the following steps: acquiring driving posture data, the driving posture data including driver information, automobile man-computer parameter information, and seat position information; building a feature extraction model of the driving posture data and screening feature vectors playing a significant role in predicting a seat position by the feature extraction model; building a prediction model of a comfortable seat position by a back propagation (BP) neural network and inputting the screened feature vectors to perform training on the prediction model; and inputting specific feature vectors to obtain the seat position information and accordingly adjust the seat position.

Abstract: A computer implemented method for determining a conversion rule for an object prediction model may include the following steps carried out by computer hardware components: determining a plurality of predictions based on sensor data using the object prediction model, wherein each prediction may include a respective prediction value and a respective confidence value of the respective prediction value; determining the conversion rule for the object prediction model by carrying out the following steps: determining a plurality of sampling values for assessing a performance of the object prediction model; for each sampling value of the plurality of sampling values, determining a corresponding statistical value based on ground-truth data and the plurality of confidence values, wherein the ground-truth data may be associated with the sensor data; and determining the conversion rule for the object prediction model based on the plurality of sampling values and the plurality of corresponding statistical values.

Abstract: Examples are disclosed that related to synthesizing a dataset of utterances in an automated manner using a computer while preserving user privacy. The synthesized dataset of utterances is usable to train a machine learning model. In one example, a differentially private parse tree generation model is trained based at least on private parse trees of a private utterance-parse tree dataset. A differentially private parse-to-utterance model is trained based at least on private utterances and corresponding private parse trees of the private utterance-parse tree dataset. A synthesized parse tree dataset is generated. The synthesized parse tree dataset includes synthesized parse trees sampled at random from the trained differentially private parse tree generation model. A synthesized utterance dataset is generated, via the trained differentially private parse-to-utterance model.

Abstract: A connecting device and an electricity-consuming apparatus are provided. The connecting device includes a first fixing member, a second fixing member and an elastic connecting assembly. The first fixing member and the second fixing member are configured to be fixedly connected to different devices respectively, and the first fixing member is movable relative to the second fixing member through the elastic connecting assembly. The elastic connecting assembly comprises an elastic member and a moving plate sandwiched between the first fixing member and the second fixing member in a first direction, the second fixing member is fixedly connected to the moving plate, at least one of the moving plate and the first fixing member is provided with a concave part formed by concaving inward in the first direction, and the elastic member is arranged at the concave part.