AVM Navigator
It is proposed that this article be deleted because of the following concern:
If you can address this concern by improving, copyediting, sourcing, renaming, or merging the page, please edit this page and do so. You may remove this message if you improve the article or otherwise object to deletion for any reason. Although not required, you are encouraged to explain why you object to the deletion, either in your edit summary or on the talk page. If this template is removed, do not replace it. The article may be deleted if this message remains in place for seven days, i.e., after 20:08, 2 December 2024 (UTC). Find sources: "AVM Navigator" – news · newspapers · books · scholar · JSTOR |
 |
AVM Navigator is an additional module of the RoboRealm (plugin) that provides object recognition and autonomous robot navigation using a single video camera on the robot as the main sensor for navigation.
Associative Video Memory
[edit]It is possible due to using of an "Associative Video Memory" (AVM) algorithm based on multilevel decomposition of recognition matrices. It provides image recognition with low False Acceptance Rate (about 0.01%). In this case visual navigation is just the sequence of images (landmarks) with associated coordinates that was memorized inside AVM tree during route training. The navigation map is presented as the set of data (such as X, Y coordinates and azimuth) associated with images inside AVM tree. When a robot sees images from camera (marks) that can be recognized then it confirms its current location.
The navigator creates a way from the current location to target position as a chain of waypoints. If the robot's current orientation does not point to the next waypoint then the navigator turns the robot body. When the robot reaches a waypoint the navigator changes direction to the next waypoint in the chain and so on until the target position is reached.
External links
[edit] | This robotics-related article is a stub. You can help Wikipedia by expanding it. |