Visual landmarks are detected by extracting discriminative features from camera images or video streams. Common visual features include corners (Harris, FAST), blobs (SIFT, SURF), and edges (Canny, Sobel) Convolutional neural networks (CNNs) can also be used to learn high-level visual features for landmark detection.
Aug 20, 2024
This paper presents a new method for defining and extracting visual landmarks for indoor navigation using a single camera. The approach considers that ...
This paper presents a new method for defining and extracting visual landmarks for indoor navigation using a single camera. The approach considers that ...
This paper presents a new method for defining and extracting visual landmarks for indoor navigation using a single camera. The approach considers that ...
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A new method for defining and extracting visual landmarks for indoor navigation using a single camera that can match pre-detected landmarks of a learning ...
The position information of the person and the robot is used for building up the sensorimotor map and planning navigation, and the visual features are used for ...
The robot navigation using visual landmark approach is described. The landmarks are not preselected or otherwise defined a priori, but rather, ...
1. the landmark features can be easily detected by inexpensive visual sensors;. 2. the visual landmarks are commonly observed in an indoor environment;. 3 ...
This paper presents methods for navigating and localizing mobile robots in a known indoor environment. We introduce a restricted visibility concept called a ...
Abstract—We propose a visual programming system that allows users to specify navigation tasks for mobile robots using high-level landmarks in a virtual ...