Multi-modal mapping
نویسندگان
چکیده
منابع مشابه
Keep Breathing! Common Motion Helps Multi-modal Mapping
We propose an unconventional approach for transferring of information between multi-modal images. It exploits the temporal commonality of multi-modal images acquired from the same organ during free-breathing. Strikingly there is no need for capturing the same region by the modalities. The method is based on extracting a low-dimensional description of the image sequences, selecting the common ca...
متن کاملA system for “human-augmented mapping” using multi-modal representations
The paper presents an HRI architecture for human-augmented mapping. Through interaction with a human, the robot can augment its autonomously learnt metric map with qualitative information about locations and objects in the environment. The system implements various interaction strategies observed in independently performed Wizard-of-Oz studies. The paper discusses an ontology-based approach to ...
متن کاملVisual Mapping and Multi-modal Localisation for Anywhere AR Authoring
This paper presents an Augmented Reality system that combines a range of localisation technologies that include GPS, UWB, user input and Visual SLAM to enable both retrieval and creation of annotations in most places. The system works for multiple users and enables sharing and visualizations of annotations with a control centre. The process is divided into two main steps i) global localisation ...
متن کاملMULTI-MODAL UTILE DISTINCTIONS Multi-Modal Utile Distinctions
We introduce Multi-Modal Utility Trees (MMU), an algorithm for autonomously learning decision treebased state abstractions in Partially Observable Markov Decision Processes with multi-modal observations. MMU builds the trees using the Kolmogorov-Smirnov statistical test. Additionally, MMU incorporates the ability to perform online tree restructuring, enabling it to build and maintain a compact ...
متن کاملMulti-modal Semantic Place Classification Multi-modal Semantic Place Classification
The ability to represent knowledge about space and its position therein is crucial for a mobile robot. To this end, topological and semantic descriptions are gaining popularity for augmenting purely metric space representations. In this paper we present a multi-modal place classification system that allows a mobile robot to identify places and recognize semantic categories in an indoor environm...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature Reviews Neuroscience
سال: 2016
ISSN: 1471-003X,1471-0048
DOI: 10.1038/nrn.2016.115