Anhui Eyevolution Technology Co., Ltd.

Micron Technology Incorporated

Dongdong Yang

Xiaolin Zhang

Kaifang Wang

Wenhao Wang

Lei Wang

Hong Liang

Jiamao Li

The present invention provides a speed measurement method and apparatus using a plurality of cameras. The speed measurement method includes: S1: calibrating positions of the respective cameras in a camera group, which are on a mobile platform at fixed relative positions; S2: obtaining a sequence of synchronized images from the respective cameras in the camera group, and recording time stamps thereof; and S3: performing a registration on the images captured by the respective cameras in the camera group and, if a registration result of two of the images is greater than a first threshold, calculating a position transformation matrix for the two images, and then calculating a position transformation matrix for the mobile platform based on the positional relationships between the cameras that captured the two images, and finally calculating a speed information of the mobile platform based on the position transformation matrix and an interval between times when the two images were captured. Calculating a speed of the mobile platform through registration of images captured by different cameras can overcome the problem with single camera-based speed measurement that the distance between locations where successive images are captured conflict with a degree of coincidence of the images and enables the obtainment of high-accuracy moving speed information.

Speed measurement method and apparatus based on multiple cameras

Methods, systems, and devices for techniques for enabling and disabling of a serializer/deserializer are described. In some examples, a system may be configured to identify information to be transmitted by a serializer/deserializer over a communication channel and activate, based on identifying the information to be transmitted, both a transmission component and a reception component of the serializer/deserializer that are coupled with the communication channel. Additionally or alternatively, in some examples, a system may be configured to identify information to be received by a serializer/deserializer over a communication channel and activate, based on identifying the information to be received, both a transmission component and a reception component of the serializer/deserializer that are coupled with the communication channel.

Techniques for enabling and disabling of a serializer/deserializer

In a calibration method for a multi-degree-of-freedom movable vision system, a calibration template is placed in front of a camera component, each degree of freedom of movement of the camera component is rotated, several images including features of the calibration template are recorded using the camera component, position information of each degree of freedom of movement when the corresponding images are acquired is also recorded, and calibration results of the camera component and each degree of freedom of movement are calculated using a calculation component. The movable vision system comprises the camera component, the calculation component and a control component.

Calibration method for multi-degree-of-freedom movable vision system

A stereo calibration method for a movable vision system. The movable vision system involved in the method comprises at least two photography components, at least one calculation component, and at least one control component. The method comprises: placing a calibration template in front of photography components; rotating the photography components by degrees of freedom of motion; obtaining one or more groups of images including calibration template features, and obtaining corresponding position information at the degrees of freedom of motion when the images are obtained; obtaining, by means of calculation, a calibration result of the photography components and the degrees of freedom of motion, i.e., a rotation matrix and a translation matrix of the rotation axis at the degrees of freedom of motion with respect to the photography components; and then obtaining in real time a stereo calibration result by combining the obtained calibration result and the position information at the degrees of freedom of motion in the vision system. The method implements stereo calibration of the photography components in a movable multiocular system in a motion state, has a good calculation real-time property, eliminates the error problem caused by machining or assembly, and has a broad application prospect.

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Shanghai, China

Dongdong Yang