Boe Technology Group Co., Ltd.

Beijing Boe Technology Development Co., Ltd.

Haijun Su

Yue Li

Xiaojun Tang

Kai Zhao

Tong Liu

The disclosure provides an objective identification device, comprising: a classifier training circuit configured to extract objective characteristics based on training samples and perform offline training based on the objective characteristics to obtain a classifier; and a calculation circuit is configured to identify an objective in an image based on a particle swarm optimization algorithm, wherein each of particles is defined as an object having a predefined size in the image; and a fitness value of each of particles is calculated based on the classifier and the objective characteristics of the particle in the particle swarm optimization algorithm, the fitness value representing a probability that the particle belongs to the objective. The disclosure also provides an objective identification method and driving assistance device. According to the disclosure, not only the identification rate can be increased but also application scenarios having different identification rate requirements can be satisfied.

Device and method of objective identification and driving assistance device

Embodiments of the disclosure provide an object detection method and device. The object detection method includes: extracting features of an image; classifying the image by each level of classifiers of a cascade classifier according to the features of the image, and calculating a classification score of the image in each level of the classifiers of the cascade classifier according to a classification result; and calculating, according to the classification score, a cascade score of the image in a corresponding level of the cascade classifier, comparing the cascade score in the corresponding level with a cascade threshold of the corresponding level, and judging the presence of an object in the image according to a comparison result.

Object detection method and device

A method for positioning an intelligent terminal apparatus comprises: acquiring data points scanned by a position detection device in the intelligent terminal apparatus at the current position of the intelligent terminal apparatus; converting valid data points into segment features to obtain a first set of segment features; and converting point features in an established map of the intelligent terminal apparatus into segment features to obtain a second set of segment features; selecting, from the first and second set of segment features, segments having the same position relationship respectively to form a first and a second candidate subset of the first and the second set of segment features respectively; and determining a transformation matrix that matches the first candidate subset to the second candidate subset, and identifying the current position and the orientation angle of the intelligent terminal apparatus in the established map based on the transformation matrix.

Method and device for positioning intelligent terminal apparatus, as well as intelligent terminal apparatus associated therewith

The present application discloses a delivery method and a delivery control device. The delivery method includes steps Sto S. In the step S, request information sent by a user is acquired, the request information including user location information which indicates a current position of the user. In the Step S, a delivery apparatus for the user is selected among at least two types of delivery apparatuses according to the user location information. In the Step S, the selected delivery apparatus is controlled to deliver an article or service to the user.

Delivery method and delivery control device

An air humidifying device and a moving method thereof, an air humidifying system and a control method thereof, and a monitoring system are disclosed. The moving method includes: determining a target region to be humidified, the target region being any one of N to-be-humidified regions, and N being an integer greater than or equal to 2; determining movement trace information of the air humidifying device moving towards the target region; moving to the target region according to the movement trace information; and humidifying the target region. The method is used in a humidifying process of the air humidifying device, which not only expands the scope of air humidification, but also makes the air humidifying device move flexibly.

Air humidifying device and method of moving the same, air humidifying system and control method thereof, and monitoring system

The present application provides an intelligent scheduling system for vending robots and a corresponding method. The system comprises: at least one video monitor, configured to acquire a population image of a plurality of regions and obtain population density information of the plurality of regions by performing image processing on the population image; and a scheduling control server configured to allocate at least one vending robot to the plurality of regions according to the population density information of the plurality of regions and transmit, to the allocated at least one vending robot, a scheduling instruction which specifies a position of a region to which it is allocated, wherein the at least one vending robot is configured to autonomously move to the position of the region to which it is allocated for selling goods according to the scheduling instruction which specifies the position of the region from the scheduling control background server.

Intelligent scheduling systems and methods for vending robots

The present disclosure provides a method, a device, a terminal, a system and a vehicle for visualization of vehicle's blind spot. The method includes: acquiring real-time image data in front of the vehicle; creating a Three-Dimension (3D) map with the acquired image data; determining a current location of the vehicle in the 3D map; acquiring the relative location information between the driver and the sight-blocking object that blocks the vision of the driver; determining the blind spot in the vision of the driver in connection with structure information of the sight-blocking object and the relative location information between the driver and the sight-blocking object that blocks the vision of the driver; and determining environmental information of the blind spot in the vision in accordance with the 3D map, the current location of the vehicle in the 3D map and the blind spot in the vision of the driver.

Growing community of inventors

Beijing, China

Haijun Su