Beijing Smarter Eye Technology Co. Ltd.

International Business Machines Corporation

Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Didi Infinity Technology and Development Co., Ltd.

Shenzhen Pengcheng Electric Group Co., Ltd

Shenzhen Talent Database Data Technology Co., Ltd

Hua Chai

Ran Meng

Jun He

Zhe Wang

Yong Jia

Zunying Pang

Feng Cui

An Jiang

Christophe Lombard

Rong Li

Guang Lei Li

Chuan Wei Guo

Cong Wang

Haitao Zhu

Pengfei Xu

Bin Chen

Hui Cai

Yuncong Zhang

Xiang Wen

Zhipeng Xiao

Yanqiu Xia

Chuanbin Feng

Runbo Hu

Jian Li

Bin Xu

Jun Zhang

Li Li Ma

Chao Yang

Yang Liang

Xu Liang Li

Faen Zhang

Minghao Liu

Jiangliang Guo

Jin Tang

Shiming Yin

Yao Xu

Jingbo Huang

Shanshan Pei

Zhiwei Ruan

Xiaoqiang Teng

Shuangshuang Qiao

Siyu An

Xiangyue Lin

Guangzhi Wang

Guanyin Zhu

Haifeng Lai

Wentao Lin

Ronghao Li

Huanqing Zhou

Xiance Du

Ling Bao

Huosheng Xu

Jun Liao

Ruibin Lin

Zhiwei He

Yuzhi Lin

Shuhong Wu

Zhichao Song

Jixia Du

Hang Jiang

Sicheng Zhao

Shanghang Zhang

Kaihua Song

Yang Gu

Yaxian Li

The embodiments of the present disclosure provide a visual positioning method, the method may include obtaining a positioning image collected by an imaging device; obtaining a three-dimensional (3D) point cloud map associated with an area where the imaging device is located; determining a target area associated with the positioning image from the 3D point cloud map based on the positioning image; and determining positioning information of the imaging device based on the positioning image and the target area.

Systems and methods for visual positioning

A real-time ground fusion system is based on binocular stereo vision and an intelligent terminal. The method for accomplish real-time ground fusion includes: S1 of obtaining a disparity map about a same road scenario, and converting a disparity map in a target region into a 3D point cloud; S2 of performing pose conversion on a current frame and a next frame adjacent to the current frame, and performing inverse conversion on a 3D point cloud of the current frame; and S3 of repeating S2 with each frame in the target region as the current frame, so as to achieve ground fusion. Through the conversion and fusion of adjacent frames, holes caused by the projection of the disparity map can be filled to assist driving and output accurate height data, thereby improving comfortableness.

Real-time ground fusion method and system based on binocular stereo vision, and intelligent terminal

The topographic environment detection method and a topographic environment detection system based on a binocular stereo camera, and an intelligent terminal are provided. The topographic environment detection method includes: obtaining a left-eye image and a right-eye image about a same road scenario, and processing the left-eye image and the right-eye image to obtain a dense disparity map of the road scenario; converting image information in a detection region into 3D point cloud information in a world coordinate system in accordance with the dense disparity map; fitting a road surface model in accordance with the 3D point cloud information; inputting an image in the detection region into a trained semantic segmentation model, and obtaining a segmentation result from the semantic segmentation model; and obtaining topographic information about the detection region in accordance with the segmentation result, and transmitting the topographic information to a vehicle assistant driving system.

Topographic environment detection method and system based on binocular stereo camera, and intelligent terminal

The present disclosure provides a vehicle positioning device for vehicle vision calibration, a positioning adjustment method, and a positioning adjustment system. The vehicle positioning device includes a base, a chassis, a translation mechanism and a rotation mechanism. A to-be-calibrated vehicle is placed onto the chassis, and the chassis is provided with a stopper. The translation mechanism is arranged between the chassis and the base, and configured to drive the chassis to move in an X-axis direction in a three-dimensional coordinate system relative to the base in accordance with a translation control instruction. The rotation mechanism is arranged between the chassis and the base, and configured to drive the chassis to rotate about a Z-axis in the three-dimensional coordinate system relative to the base in accordance with a rotation control instruction.

Vehicle positioning device for vehicle vision calibration, and positioning adjustment method and system

An RGB-D fusion information-based obstacle target classification method includes: collecting an original image through a binocular camera within a target range, and acquiring a disparity map of the original image; collecting a color-calibrated RGB image through a reference camera of the binocular camera within the target range; acquiring an obstacle target through disparity clustering in accordance with the disparity map and the color-calibrated RGB image, and acquiring a target disparity map and a target RGB image of the obstacle target; calculating depth information about the obstacle target in accordance with the target disparity map; and acquiring a classification result of the obstacle target through RGB-D channel information fusion in accordance with the depth information and the target RGB image.

RGB-D fusion information-based obstacle target classification method and system, and intelligent terminal

A method and a system for calculating a focusing parameter of a binocular stereo camera, and an intelligent terminal are provided. The method includes: calculating a lower limit value and an upper limit value of a distance measurement range; acquiring a depth-of-field range in accordance with the lower limit value and the upper limit value; calculating a maximum value and a minimum value of an image distance gain corresponding to a real object distance within the depth-of-field range, and calculating an optimal image distance gain in accordance with the maximum value and the minimum value; acquiring an optimal object distance of a focused target in accordance with the optimal image distance gain; and calculating an optimal size of the focused target in accordance with the optimal object distance.

Method and system for calculating a focusing parameter of a binocular stereo camera, and intelligent terminal

A vehicle braking and warning method includes: acquiring first target information within a detection range of the binocular stereo camera, second target information within a detection range of a millimeter-wave radar, and current vehicle driving information; acquiring sensing result data about a target obstacle in accordance with the first target information and the second target information in conjunction with a predetermined weight; and outputting a braking instruction and/or a warning instruction in accordance with the sensing result data and the current vehicle driving information so as to enable a vehicle to adjust its driving state in accordance with the instructions.

Vehicle braking and warning method, system and device based on binocular stereo camera

A method for automatically braking a commercial vehicle includes: providing a plurality of ultrasonic radars on a front vehicle body of a target commercial vehicle, the ultrasonic radars being configured to detect a region before the target commercial vehicle in a gapless manner, an active speed range being set for each ultrasonic radar; acquiring a current speed of the target commercial vehicle in real time and calculating a safe distance for each ultrasonic radar in accordance with the current speed; and detecting whether there is an obstacle within the safe distance in real time, and when there is the obstacle within the safe distance, transmitting a decelerating or braking instruction to an execution system of the target commercial vehicle.

Method, device and system for automatically braking commercial vehicle

The present disclosure discloses a task processing method and a distributed computing framework. A specific embodiment of the method includes: parsing an expression corresponding to a distributed computing task, and constructing task description information corresponding to the distributed computing task, the task description information being used to describe a corresponding relationship between an operator and a distributed dataset, and the operator acting on at least one of the distributed dataset or distributed datasets obtained by grouping the distributed dataset; determining, based on the task description information, a distributed dataset the operator acting on; and performing distributed computing on the distributed dataset the operator acting on using the operator. In the distributed computing, the acting scope and nesting relationship of the operator is described by constructing a topology.

Task processing method and distributed computing framework

Embodiments of the disclosure provide systems and methods for domain adaptation between a plurality of source domains and a target domain. The artificial intelligence method includes receiving labeled data from the plurality of source domains and unlabeled data from the target domain. The method further includes separately training, by a processor, a plurality of source classifiers each corresponding to a source domain using the labeled data received from the respective source domains. The method also includes selecting a subset of the labeled data received from each source domain based on a similarity between the selected labeled data and the unlabeled data of the target domain. The method additionally includes refining, by the processor, each source classifier using the selected subset of the labeled data, and predicting labels of the unlabeled data using the refined source classifiers.

Machine learning systems and methods with source-target adaptation

A method and apparatus for executing a distributed computing task are provided. The method can include: parsing an expression of the distributed computing task to obtain an operator keyword; and executing, by using an operator corresponding to the operator keyword, the distributed computing task based on an input parameter of the operator, the input parameter of the operator including at least one of: a distributed stored distributed dataset including at least one data element, a distributed stored distributed key-value pair set including at least one key-value pair, and a value of the key-value pair in the distributed key-value pair set being a distributed dataset or a distributed key-value pair set.

Method and apparatus for executing distributed computing task

Embodiments of the present disclosure disclose a method and apparatus for recommending a video. A specific implementation of the method includes: finding a recommended video corresponding to a target video from all candidate videos based on similarities of content characteristics of the videos, the target video being a video to be played on a terminal of a user; and sending play information of the recommended video corresponding to the target video to the terminal of the user. The method finds a video similar on video content to the target video that the user desires to view based on the content characteristic of the video, and recommends the video similar on video content to the target video that the user desires to view to the user.

Method and apparatus for recommending video

The present disclosure provides a method and a device for detecting a height-limiting rod, and an automatic driving system, for use in a binocular stereo camera. The method includes: filtering out invalid points in a disparity map corresponding to a target image in accordance with a predetermined detection range, so as to acquire a valid point disparity map; projecting the valid point disparity map along an X-axis direction in a three-dimensional coordinate system onto a plane where a Y axis and a Z axis are located, and counting the quantity of valid points for each row of pixels with respect to each disparity value, so as to acquire a projection image; filtering out invalid projection points and invalid blobs in the projection image, so as to acquire a valid blob image; and back-projecting the valid blob image to the three-dimensional coordinate system, and determining a rectangular region where the height-limiting rod is located in accordance with X-axis, Y-axis and Z-axis coordinate values.

Method and device for detecting height-limiting rod, and automatic driving system

An image edge extraction device for an automated driving system is capable of extracting an image edge in a rapid manner. The device employs an image edge extraction method that includes: acquiring a grayscale image of a target image; calculating an edge magnitude and an edge angle of the grayscale image, so as to generate an edge magnitude image and an edge angle image; detecting an edge peak of the edge magnitude image in accordance with the edge angle image, so as to acquire each edge point of the edge magnitude image and acquire an edge peak detection result; and performing double-thresholding segmentation on the edge peak detection result through a flooding method, so as to acquire an image edge of the target image.

Image edge extraction method and device, and automated driving system

A method for building a camera imaging model includes: converting world coordinate values of a random point P into camera coordinate values of a target camera in accordance with a predetermined mode; converting the camera coordinate values into image coordinate values of the target camera; and converting the image coordinate values into digital image coordinate values and building the camera imaging model. The converting the image coordinate values into the digital image coordinate values includes performing a spatial sampling operation on the random point P, and adjusting coordinate values of an origin to image coordinate values through calculation. The method can be used in an automated driving system for a vehicle.

Method and device for building camera imaging model, and automated driving system for vehicle

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Beijing, China

Hua Chai