Baidu Online Network Technology (Beijing) Co., Ltd.

Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Apollo Intelligent Driving Technology (Beijing) Co., Ltd.

Apollo Intelligent Connectivity (Beijing) Technology Co., Ltd.

Yanfu Zhang

Jiali Zhang

Ruigang Yang

Jiawei Gu

Zhibin Hong

Cheng Tan

Rui Ren

Yun Zhao

Dingfu Zhou

Zhihua Yu

Zongtao Fan

Bolei Wang

Long Gong

Jingsheng Hu

Yuelei Gao

Zhenmin Zhu

Qingqing Xie

Yuquan Yuan

A registration method and a registration apparatus for an autonomous vehicle is provided. The method includes: generating a first trajectory curve based on first detection poses of a vehicle-mounted camera at a plurality of first time points, generating a second trajectory curve based on second detection poses of a vehicle-mounted positioning device at a plurality of second time points, aligning the first trajectory curve with the second trajectory curve based on the first detection poses and the second detection poses, and registering the vehicle-mounted camera and the vehicle-mounted positioning device based on the first trajectory curve and the second trajectory curve aligned with each other.

Method and apparatus for registering devices of autonomous vehicle based on trajectory alignment

A method and an apparatus for determining a road surface adhesion coefficient are provided. The method includes: determining, based on M state parameters of a vehicle on a target road section, M road surface adhesion coefficient estimation results respectively corresponding to the M state parameters, M being an integer greater than 1; selecting N road surface adhesion coefficient estimation results from the M road surface adhesion coefficient estimation results according to a traveling work condition of the vehicle on the target road section, N being a positive integer smaller than or equal to M; and determining a road surface adhesion coefficient of the target road section based on the N road surface adhesion coefficient estimation results.

Method and apparatus for determining road surface adhesion coefficient, and autonomous driving vehicle

A photographing device for a vehicle and relates to the field of automatic driving technology is disclosed. The specific solution is that the photographing device includes a seat; a camera mounted on the seat; a lens holder mounted on the seat and rotatable relative to the seat; a transparent lens mounted on the lens holder and arranged opposite to the camera; and a driving assembly connected with the lens holder to drive the lens holder to rotate relative to the base.

Photographing device for vehicle

The present disclosure discloses a method and an apparatus for recognizing an image. A specific implementation of the method comprises: acquiring a to-be-recognized image containing a to-be-recognized object; sending the to-be-recognized image to a server, and receiving identification information of a target object corresponding to the to-be-recognized object returned by the server, obtained by recognizing the to-be-recognized image, and a confidence parameter returned by the server; and determining the identification information of the target object as a recognition result when the confidence parameter is greater than a confidence threshold; or acquiring labeled information associated with the to-be-recognized image from a third-party platform and determining the labeled information as the recognition result when the confidence parameter is smaller than the confidence threshold.

Method and device for image recognition

Embodiments of the present disclosure disclose a method and apparatus for processing an image. A preferred embodiment of the method comprises: receiving video data acquired by a web camera and decoding the video data to obtain at least one to-be-processed image containing a face image; determining a face region image in the to-be-processed image; and extracting facial feature information from the face region image, the facial feature information comprising at least one of the following: facial form information, eyebrow information or eye shape information. The embodiment acquires video data by means of a web camera, which ensures the quality of the acquired image, realizes the pre-processing of the to-be-processed image and is useful to improve the accuracy of the subsequent face recognition.

Method and apparatus for processing image

Embodiments of the present disclosure disclose a method and apparatus for recognizing a face. A specific embodiment of the method includes: acquiring at least two facial images of a to-be-recognized face under different illuminations using a near-infrared photographing device; generating at least one difference image based on a brightness difference between each two of the at least two facial images; determining a facial contour image of the to-be-recognized, face based on the at least one difference image; inputting the at least two facial images, the at least one difference image, and the facial contour image into a pre-trained real face prediction value calculation model to obtain a real face prediction value of the to-be-recognized face; and outputting prompt information for indicating successful recognition of a real face, in response to determining the obtained real face prediction value being greater than a preset threshold.

Method and apparatus for recognizing face

Growing community of inventors

Beijing, China

Yanfu Zhang