Landmark Generation in Visual Place Recognition Using Multi-Scale Sliding Window for Robotics
نویسندگان
چکیده
منابع مشابه
Visual Place Recognition Using Landmark Distribution Descriptors
Recent work by Sünderhauf et al. [1] demonstrated improved visual place recognition using proposal regions coupled with features from convolutional neural networks (CNN) to match landmarks between views. In this work we extend the approach by introducing descriptors built from landmark features which also encode the spatial distribution of the landmarks within a view. Matching descriptors then ...
متن کاملVisual Learning for Landmark Recognition
Recognizing landmark is a critical task for mobile robots. Landmarks are used for robot positioning, and for building maps of unknown environments. In this context, the traditional recognition techniques based on strong geometric models cannot be used. Rather, models of landmarks must be built from observations using image-based visual learning techniques. Beyond its application to mobile robot...
متن کاملBio-inspired homogeneous multi-scale place recognition
Robotic mapping and localization systems typically operate at either one fixed spatial scale, or over two, combining a local metric map and a global topological map. In contrast, recent high profile discoveries in neuroscience have indicated that animals such as rodents navigate the world using multiple parallel maps, with each map encoding the world at a specific spatial scale. While a number ...
متن کاملMulti-view Landmark Recognition in Large-scale Image Collections
From the large amount of web photos and other meta knowledge, recognizing landmark images has been actively studied in recent years. Previous landmark recognition research based on visual similarities have several limitations in terms of sparseness, efficiency and functionality. In this paper, I proposed a landmark hierarchy which consists of images, geographical clusters, visual clusters and t...
متن کاملFuzzy constraint satisfaction approach for landmark recognition in mobile robotics
This work deals with landmark recognition in mobile robotics, using a new model based on Constraint Satisfaction Problems (CSP): the Multivariable Fuzzy Temporal Profile model (MFTP). A representation supported by CSPs makes it possible to capture a morphological description of the patterns that landmarks give rise to on sensor readings. Its representation, based on Fuzzy Set Theory, allows the...
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: Applied Sciences
سال: 2019
ISSN: 2076-3417
DOI: 10.3390/app9153146