Showing results for FloorplanNer: Learning Topometric Floor Plan Matching for Robot Localization.
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Given a building floorplan, humans can localize themselves by matching the observation of the environment with the floorplan using geometric, semantic, ...
Jun 2, 2023 · In this paper, we present a new way of thinking about multimodal map matching – a Graph Neural Network (GNN) based learning method FloorplanNet ...
This paper presents a multi-robot mapping and localization system. Learning maps and efficient exp loration of unknown environment is a fundamental problem in ...
Duration: 1:08
Posted: Mar 5, 2019
Posted: Mar 5, 2019
Mar 5, 2019 · Our method employs a convolutional neural network to predict room layout edges from a single camera image and estimates the robot pose using a ...
In this paper we propose a system for robot localization in architectural CAD drawings. Our method employs a simultaneous localization and mapping approach to ...
This paper proposes a method using graph matching to align a floor map with an occupancy grid map generated by SLAM, and verified that this method can ...
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A memory and computationally efficient monocular camera-based localization system that allows a robot to estimate its pose given an architectural floor plan ...
Sep 27, 2021 · In this paper, a novel cognitive navigation package, which consists of topometric map representation and a three-level path planner, is proposed ...
