Event camera and depth camera-based visual odometer positioning method and system
A technology of visual odometer and depth camera, which is applied in the field of computer vision, can solve problems such as difficult observation and large measurement deviation, and achieve the effect of high positioning accuracy and high algorithm efficiency
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Embodiment 1
[0095] Embodiment 1: A visual odometry positioning method based on an event camera and a depth camera. Such as figure 2 Shown is the flowchart of the visual odometry localization method.
[0096] The methods include:
[0097] Obtain the depth map and event information collected synchronously and in real time by the Azure Kinect camera (depth camera) and Prophesee-Gen3 camera (event camera) that have been calibrated with internal and external parameters; and obtain the data collected by the Pointgrey-GS3 camera (conventional camera) for comparison experiment.
[0098] Accumulate the events triggered in the millisecond-level local time, project the events onto the virtual two-dimensional image along the time dimension, and define the generated virtual two-dimensional image for the event flow called time-surface diagram;
[0099] Projecting the depth map collected by the depth camera synchronized with the event camera at the key frame moment to the event camera plane accordin...
specific Embodiment
[0115] Such as image 3 A schematic structural diagram of a visual odometry positioning system based on an event camera and a depth camera in an embodiment of the present invention is shown.
[0116] The system includes:
[0117] The acquisition module 31 is used to acquire the depth map and events collected synchronously and in real time by the depth camera and the event camera having calibrated internal and external parameters;
[0118] The time surface graph generation module 32 is connected to the acquisition module 31, and is used to accumulate the event flow in the millisecond-level local time, and project each event in the event flow onto the virtual two-dimensional image along the time dimension to generate A time surface diagram of the current moment;
[0119] The key frame local map construction module 33 is connected to the acquisition module 31 and the time surface map generation module 32, and is used to project the depth map collected by the depth camera synchr...
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