Cloudminds (shenzhen) Robotics Systems Co., Ltd.

Huawei Technologies Co., Limited

Cloudminds Robotics Co., Ltd.

Cloudminds (shanghai) Robotics Co., Ltd.

Cloudminds (beijing) Technologies Co., Ltd.

Yimin Lin

Shiguo Lian

Kai Wang

Ye Li

Yibing Nan

Wenqi Wang

Rumin Zhang

Fuyuan Shi

A cloud-based trajectory map generation method, device, apparatus and application. The method includes: acquiring first trajectory map data and second trajectory map data; performing a map-initializing treatment to align the two trajectory map data to obtain an initial value of a transformation relationship therebetween; interpolating the two trajectory map data to obtain corresponding data at preset interpolation points thereto; determining a residual equation based on the corresponding data at the preset interpolation points and the initial value of the transformation relationship to obtain an optimal solution of the transformation relationship based thereon; and generating a trajectory map based on the optimal solution of the transformation relationship. The trajectory map data are obtained using two different mapping schemes over a same moving trajectory, or using a same mapping scheme over two substantially identical moving trajectories, within a same region, which are optimized to thereby obtain a high-precision trajectory map.

Method, device, apparatus, and application for cloud-based trajectory map generation

A method, a device and a terminal for generating training data is provided. The method for generating training data includes: obtaining an original image; determining a transferred image based on the image style transfer model and the original image, wherein the image style transfer model is obtained by minimizing a loss function, the loss function is determined by the original loss function the background loss function and the foreground loss function; determining the training data based on the transferred image. The difference between the generated training data and the target image is small, thereby improving the accuracy of the training model obtained by using the training data.

Method, device and terminal for generating training data

An obstacle avoidance reminding method includes: performing ground detection based on acquired image data to acquire ground information of a road; performing passability detection based on the acquired ground information, and determining a traffic state of the road; if it is determined that the road is impassable, performing road condition detection for the road to acquire a first detection result, and performing obstacle detection for the road to acquire a second detection result; and determining obstacle avoidance reminding information based on the first detection result and the second detection result.

Obstacle avoidance reminding method, electronic device and computer-readable storage medium thereof

The embodiment of the present disclosure discloses an intelligent blind guide method and apparatus, and relates to the field of artificial intelligence, so as to solve the problem that an intelligent blind guide system requires the whole-process intervention of an artificial customer service staff, which results in high work intensity. The intelligent blind guide method includes: obtaining a confidence of an intelligent blind guide according to sensor information, wherein the confidence indicates the reliability of blind guide information generated according to the sensor information without artificial decision; generating the blind guide information according to the sensor information if the confidence is greater than or equal to a preset threshold, and importing artificial decision to generate the blind guide information if the confidence is less than the preset threshold. The embodiment of the present disclosure is applied to a blind guide helmet.

Intelligent blind guide method and apparatus

The embodiment of the present application provides a method and apparatus for detection of false alarm obstacle, and relates to the field of identification and detection technology, in order to improve accuracy for the obstacle detection. The method includes: obtaining a first view at a moment t and a second view at a moment t&#x2212;1, collected by a camera; determining location information of the same obstacle to be detected in the first view and the second view; determining motion information of the camera from moment t&#x2212;1 to the moment t; judging whether the location information of the same obstacle to be detected in two views being matched with the motion information of the camera; and if not, judging the obstacle to be detected as a false alarm obstacle. The embodiment of the present application is applied to obstacle detection.

Method and apparatus for detection of false alarm obstacle

A positioning method, a terminal and a server, and relates to the field of positioning and navigation, for performing accurate global positioning. The positioning method includes: a terminal sends a first global coordinate to a server, the server receives the first global coordinate from the terminal, the server searches for corresponding local map data and mapping parameters corresponding to the local map data according to the first global coordinate, the server sends the local map data and the mapping parameters to the terminal, and the terminal obtains a local coordinate of the current location according to the local map data and surrounding environment information of the current location, and obtains a second global coordinate of the current location according to the local coordinate of the current location and the mapping parameters. The embodiment of the present disclosure is applied to accurate positioning.

Positioning method, terminal and server

In the field of man-machine interaction technologies, a gesture-based object measurement method and apparatus, which are used to improve measurement efficiency. According to this method, after image information is collected, contour information of a to-be-measured object is automatically extracted and partitioned off, and a measurement parameter value such as a length, an area, or a volume is calculated on this basis. In this way, not only real-time online measurement is implemented, a measurement process is simpler, and more convenient, visual, and effective, and augmented reality (AR) measurement efficiency can be improved, but also the measurement process is more harmonious and natural, and closer to a human intention, and a measurement result is more accurate.

Growing community of inventors

Beijing, China

Yimin Lin