Qfeeltech (beijing) Co., Ltd.

Nolo Co., Ltd

Chinese Academy of Sciences

Beijing Bytedance Network Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Naura Microelectronics Equipment Co., Ltd.

Yiming Zhang

Zhen Chen

Daoning Zhang

Jianing Zhang

Shuailing Li

Xin Wu

Man Yu Wong

Huanhuan Cao

Kevin Chau

Ming Chi

Fan Zeng

Tingting Ge

Huizhong An

Chenhao Wu

Xiongfei Tan

Tao Chen

Chun Long Wang

Lei Zhao

Dongsan Li

Xun Gan

Jingjin Zhou

Xingguo Xing

Qingjun Zhou

Wulin Tian

Qiushi Xie

Sichen Xu

Minsheng Wu

Xiaoping Shi

Lixin Luo

An autonomous mobile device and a control method are disclosed. The autonomous mobile device includes a main body and an imaging device, a detecting device, a light source assembly, and a controller disposed at the main body. The imaging device is configured to acquire image information in a predetermined direction of the main body. The predetermined direction includes an upward direction of the main body. The detecting device is configured to detect obstacle information in the upward direction of the main body. A light outputting direction of the light source assembly includes the upward direction of the main body. The controller is configured to, when the detecting device detects the obstacle within a predetermined distance range in the upward direction of the main body, control the light source assembly to turn on to provide illumination for the imaging device.

Autonomous mobile device and control method thereof

A cleaning robot is provided. The cleaning robot includes a motion device configured to move the cleaning robot in an environment, and an exterior housing. The cleaning robot also includes a motion sensor configured to obtain parameters relating to a motion of the cleaning robot, and a storage device configured to store data including at least one of the one or more images or the one or more motion parameters. The cleaning robot also includes a camera configured to capture one or more images of the environment. The camera is disposed internal to a slant surface located at a front end of the exterior housing and is pivotable relative to the slant surface. The slant surface inclines upwardly with respect to a forward moving direction. The camera and the slant surface face substantially a same direction. A direction of the camera and the forward moving direction form an acute angle.

Cleaning robot

Provided are a parking area recommendation method and apparatus, an electronic device, and a medium. The parking area recommendation method includes: determining parking space occupancy data of a target parking lot; and selecting a target parking area from a plurality of candidate parking areas of the target parking lot according to the parking space occupancy data, where each candidate parking area includes at least two parking spaces.

Parking area recommendation method and apparatus, and medium

A method for processing a map of a closed space is provided. The method includes obtaining a plurality of self-locations of a mobile device. The method also includes obtaining a plurality of obstacle locations. The method also includes obtaining a boundary profile based on the obstacle locations, the boundary profile being a closed line formed by sequentially connecting multiple adjacent obstacle locations. The method also includes obtaining a self-circle based on the self-locations of the mobile device, the self-circle being a closed line formed by sequentially connecting multiple adjacent self-location of the mobile device. The method also includes determining the boundary profile as an outer profile when the boundary profile encircles the self-circle at an outer side of the self-circle. The method further includes processing the map of the closed space based on the outer profile.

Method for processing map of closed space, apparatus, and mobile device

A method includes obtaining a map of a closed space. The method also includes obtaining trajectory points. The method also includes processing the trajectory points, and recognizing a correct door in the closed space based on the map and a result of processing the trajectory points. The method also includes dividing the closed space into zones based on the correct door and the map.

Method, apparatus for zone division of closed space and mobile device

A docking method executable by a mobile device is provided. The docking method includes obtaining a stored target location of a docking station, and navigating to the target location. The docking method also includes: during the navigation and/or at the target location, based on a determination that a guidance signal is not detected, performing a regional search. The docking method also includes: during the navigation, or at the target location, or during the regional search, based on a determination that the guidance signal is detected, moving, under the guidance of the guidance signal, to the docking station. Performing the regional search includes determining a basic search zone, searching for the guidance signal while moving along boundaries of the basic search zone, and based on a determination that the guidance signal has not been detected when a termination condition is satisfied, terminating the regional search.

Mobile device docking method and mobile device

The present disclosure discloses a pattern sheet, a semiconductor intermediate product, and a hole etching method. The pattern sheet includes a substrate, a dielectric layer, and a mask structure. The mask structure includes a multi-layer mask layer. An uppermost mask layer is a photoresist layer. A thickness of each layer of the mask layer and etching selectivity ratios between the layers below the mask layer satisfy that in each two neighboring layers of the mask layer, a lower layer of the mask layer is etched to form a through-hole penetrating a thickness of the lower layer of the mask layer, a remaining thickness of the upper layer of the mask layer is greater than or equal to zero.

Pattern sheet, semiconductor intermediate product, and hole etching method

Provided is a calibration-free positioning method and system. The positioning method includes: setting a positioning period, acquiring a first coordinate of a positioned object in a base station coordinate system at the end of one positioning period, performing an inertial navigation within the one positioning period to obtain a first inertial navigation result; controlling, within a next positioning period, the positioned object to move to obtain a second coordinate in the base station coordinate system at the end of the next positioning period, performing an inertial navigation on the positioned object within the positioning period to obtain a second inertial navigation result, and calculating displacement vectors in the base station coordinate system and in the inertial navigation coordinate system; calculating a rotation quaternion; transforming, through the rotation quaternion, a coordinate obtained by the inertial navigation to the base station coordinate system, output a position of the positioned object after transforming.

Calibration-free positioning method and system

A method executable by an autonomous mobile device includes moving in a work environment, obtaining environmental data acquired by a sensing device, and determining whether the sensing device is in a suspected ineffective state based on the environmental data. The method also includes based on a determination that the sensing device is in the suspected ineffective state, rotating at a same location for a first predetermined spin angle. The method also includes obtaining an estimated rotation angle based on one or more motion parameters acquired by a dead reckoning sensor, comparing the estimated rotation angle with the first predetermined spin angle, and based on a determination that a difference between the estimated rotation angle and the first predetermined spin angle is greater than a first predetermined threshold value, executing escape instructions to move backwardly for a first predetermined distance and move along a curve or a folded line.

Method and apparatus for autonomous mobile device

A road congestion detection method realized by a computer includes obtaining K images taken by L cameras corresponding to a first road at a same target time point, the first road including M road sections, each road section corresponding to at least one camera, M, L, K each being a positive integer, L being greater than or equal to M, performing target detection on each image to obtain area ratio information, the area ratio information representing a ratio of an area of vehicles on a lane of a target road section to an area of the lane of the target road section, the target road section being a road section corresponding to the image in the M road sections, and determining a first congestion detection result of the first road at the target time point in accordance with K pieces of area ratio information corresponding to the M road sections.

Road congestion detection method and device, and electronic device

A method includes acquiring an image through a visual sensor during a movement of a mobile device. The method includes matching the image with key frames stored in a key frame database. The key frames are created based on two-dimensional coordinates of feature points included in a plurality of images previously acquired through the visual sensor. The method also includes computing a visual relative pose based on two-dimensional coordinates of matching feature points included in both of the image and the one or more key frames that have been matched with the image. The method also includes computing relevant information of the visual relative pose based on the two-dimensional coordinates of the matching feature points. The method further includes updating an absolute pose of the mobile device and a map based on the relevant information of the visual relative pose and relevant information of a dead reckoning based relative pose.

Methods, apparatus, and systems for localization and mapping

Provided are a data processing method for multi-sensor fusion, a positioning apparatus and a VR device. The method includes: calculating a pose of a physical center by using data of at least one sensor set in a first positioning period; obtaining the predicted pose of the physical center according to an inertial navigation of the pose of the physical center; calculating a three-dimensional coordinate pose of each sensor set in a second positioning period; calculating, based on the three-dimensional coordinate pose, third inertial navigation data of each sensor set in the second positioning period; obtaining the converted poses of the physical center respectively through the third inertial navigation data and a pose relationship between each sensor and the physical center; and obtaining the predicted pose of each sensor set based on the converted poses of the physical center.

Data processing method for multi-sensor fusion, positioning apparatus and virtual reality device

Disclosed are a control method and a control device for an ultrasonic receiving device. The control method includes: determining a target receiver of the ultrasonic receiving device, where the ultrasonic receiving device includes at least two ultrasonic receivers, and the target receiver is one of the at least two ultrasonic receivers on the ultrasonic receiving device that is the nearest to an ultrasonic transmitting device; and controlling a state of each of the at least two ultrasonic receivers on the ultrasonic receiving device based on the determined target receiver. Thus, the ultrasonic ranging error is reduced, and the accuracy of measurement is improved.

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Beijing, China

Yiming Zhang