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Occupancy Grid Mapping refers to a family of computer algorithms in probabilistic robotics for mobile robots which address the problem of generating maps from noisy and uncertain sensor measurement data, with the assumption that the robot pose is known. Occupancy grids were first proposed by H. Moravec and A. Elfes in 1985.
This is a list of simultaneous localization and mapping ... Occupancy Grid SLAM [3] DP-SLAM; Parallel Tracking and Mapping (PTAM) [4] LSD-SLAM [5] (available as open ...
Implementation of occupancy grid mapping using a miniature mobile robot equipped with a set of five infrared based ranging sensors is explored in this research. Bayesian methods are used to update the map.
The input to stixel estimation is a dense depth map, that can be computed from stereo disparity or other means.The original approach computes an occupancy grid that can be segmented to estimate the freespace, with dynamic programming providing an efficient method to find an optimal segmentation. [5]
Robotic mapping is a discipline related to computer vision [1] and cartography. The goal for an autonomous robot is to be able to construct (or use) a map (outdoor use) or floor plan (indoor use) and to localize itself and its recharging bases or beacons in it.
Interactive maps, databases and real-time graphics from The Huffington Post