Computer Vision/Robotics - What's a pose-graph?

  • Thread starter golmschenk
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In summary, the conversation revolves around finding a definition for the term "pose graph." The speaker mentions searching on Google and finding research papers, but not a clear definition. They ask for someone to explain it to them, but then later state that they think they have found it. The definition given is that a pose graph is a graph data structure with nodes representing frames and directed edges representing transformations between frames. The speaker also asks if there is anything else that should be added to this description, specifically mentioning the inclusion of covariance in the edges.
  • #1
golmschenk
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I've been looking for a definition for a while now. A google search turns up plenty of research papers using them but I haven't found a definition yet. Can anyone explain it to me? Thanks for your time!
 
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  • #2
Nevermind. I think I found it. A pose graph is a graph data structure where each node is a frame with a specific origin and each directed edge is the transformation (translation and rotation) from one node (frame) to another. Is this right? Or wrong? Or is there something anyone thinks should be added to this description? Thanks.
 
  • #3
Also, the edge contains the covariance. Anything else? Again, thanks.
 

Related to Computer Vision/Robotics - What's a pose-graph?

1. What is a pose-graph in computer vision/robotics?

A pose-graph is a mathematical representation of the spatial location and orientation of a robot or object in a given environment. It is composed of a series of nodes, each representing a specific pose or position in space, and edges that connect these nodes to indicate the relationship between them.

2. How is a pose-graph different from a map?

A pose-graph is different from a map in that it focuses on the relative positions and orientations of objects or robots within a given environment, rather than the environment itself. Maps typically provide a more detailed representation of the features and structure of the environment, while a pose-graph is primarily concerned with the movement and localization of objects within that environment.

3. What is the purpose of using a pose-graph in computer vision/robotics?

The main purpose of using a pose-graph is for localization and mapping. By continuously updating the pose-graph as the robot or object moves through the environment, it can accurately track its own position and orientation. This information can then be used for various tasks such as navigation, object manipulation, and environment mapping.

4. How is a pose-graph created and updated?

A pose-graph is created by using sensor data, such as camera images or lidar scans, to estimate the position and orientation of the robot or object in the environment. As the robot moves, these estimations are continuously updated and refined, resulting in a more accurate pose-graph. Other algorithms and techniques, such as loop closure and graph optimization, can also be used to improve the accuracy of the pose-graph.

5. Can a pose-graph be used in real-time applications?

Yes, pose-graphs can be used in real-time applications. With advancements in technology and algorithms, it is now possible to create and update pose-graphs in real-time, allowing for real-time localization and mapping. This is particularly useful in applications such as autonomous navigation and robot manipulation, where accurate real-time position information is crucial.

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