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Found 18 papers, 1 papers with code
Multi-Technique Sequential Information Consistency For Dynamic Visual Place Recognition In Changing Environments
Visual place recognition (VPR) is an essential component of robot navigation and localization systems that allows them to identify a place using only image data.
Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition
Visual place recognition (VPR) enables autonomous systems to localize themselves within an environment using image information.
Patch-DrosoNet: Classifying Image Partitions With Fly-Inspired Models For Lightweight Visual Place Recognition
Visual place recognition (VPR) enables autonomous systems to localize themselves within an environment using image information.
Visual Place Recognition with Low-Resolution Images
Images incorporate a wealth of information from a robot's surroundings.
A-MuSIC: An Adaptive Ensemble System For Visual Place Recognition In Changing Environments
Visual place recognition (VPR) is an essential component of robot navigation and localization systems that allows them to identify a place using only image data.
Data-Efficient Sequence-Based Visual Place Recognition with Highly Compressed JPEG Images
The sequence length that enables 100% place matching performance is reported and an analysis of the amount of data required for each VPR technique to perform the transfer on the entire spectrum of JPEG compression is provided.
Merging Classification Predictions with Sequential Information for Lightweight Visual Place Recognition in Changing Environments
Low-overhead visual place recognition (VPR) is a highly active research topic.
Data Efficient Visual Place Recognition Using Extremely JPEG-Compressed Images
Moreover, this paper demonstrates how fine-tuning a CNN can be utilised as an optimisation method for JPEG compressed data to perform more consistently with the image transformations detected in extremely JPEG compressed images.
Highly-Efficient Binary Neural Networks for Visual Place Recognition
In a typical BNN, the first convolution is not completely binarized for the sake of accuracy.
A Benchmark Comparison of Visual Place Recognition Techniques for Resource-Constrained Embedded Platforms
(4) How does the performance of a high-end platform relate to an on-board low-end embedded platform for VPR?
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments
In this work, our goal is to provide an algorithm of extreme compactness and efficiency while achieving state-of-the-art robustness to appearance changes and small point-of-view variations.
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments
To the best of our knowledge, this is the first attempt to propose binary neural networks for solving the visual place recognition problem effectively under changing conditions and with significantly reduced resource requirements.
Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors
Visual Place Recognition (VPR) is a fundamental yet challenging task for small Unmanned Aerial Vehicle (UAV).
Assessing Capsule Networks With Biased Data
This paper aims to fill this gap and proposes two experimental scenarios to assess the tolerance to imbalanced training data and to determine the generalization performance of a model with unfamiliar affine transformations of the images.
Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database
Selecting the most suitable local invariant feature detector for a particular application has rendered the task of evaluating feature detectors a critical issue in vision research.
Automatic Selection of the Optimal Local Feature Detector
The efficiency and the good accuracy in determining the optimal feature detector for any operating condition, make the proposed tool suitable to be utilized in real visual applications.
Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database
Selecting the most suitable local invariant feature detector for a particular application has rendered the task of evaluating feature detectors a critical issue in vision research.
Assessing The Performance Bounds Of Local Feature Detectors: Taking Inspiration From Electronics Design Practices
Since local feature detection has been one of the most active research areas in computer vision, a large number of detectors have been proposed.
