Map merging using hough peak matching. Abstract: One of the major problems for multi-robot SLAM is that the robots only know their positions in their own local ...

Multiple robot map merging in the Hough space has been presented that is fast and robust. The proposed algorithm is designed to work in structured environments.

Abstract— One of the major problems for multi-robot SLAM is that the robots only know their positions in their own local coordinate frames, so fusing map ...

The proposed method is a novel multiple robot occupancy grid map merging solution. •. It uses Hough transform to identify overlaps between maps and merge them.

Map Merging Using Hough Peak. Matching. Sajad Saeedi*, Liam Paull*, Michael Trentini**, Mae Seto*** and Howard Li*. * COBRA Group at the University of New ...

... This method restricts the search space by exploiting the dominant directions and displacements of straight regions in the maps and retrieves the candidate ...

This research extends the mapping process to multiple robots with a novel occupancy grid map fusion algorithm that achieves map fusion by transforming ...

The main idea of the proposed approach is to initialize the map of each vehicle comprising the known initial positions of collaborating vehicles, and continuing ...

Abstract—We present a recently developed algorithm for merging multiple occupancy grid maps computed by multiple robots independently exploring a shared ...

In this research, the mapping process is extended to multiple robots with a novel occupancy grid map fusion algorithm. Map fusion is achieved by transforming ...