Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive homing: robotic exploration tours
Adaptive Behavior
Robust analysis of feature spaces: color image segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Local visual homing by matched-filter descent in image distances
Biological Cybernetics
Depth, contrast and view-based homing in outdoor scenes
Biological Cybernetics
Evolving a Neural Model of Insect Path Integration
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Linked Local Navigation for Visual Route Guidance
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
International Journal of Intelligent Systems Technologies and Applications
Local visual homing by warping of two-dimensional images
Robotics and Autonomous Systems
Using the Average Landmark Vector Method for Robot Homing
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
Animals Versus Animats: Or Why Not Model the Real Iguana?
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Simulated visual homing in desert ant natural environments: efficiency of skyline cues
Biological Cybernetics
Self-Organizing Sensorimotor Maps Plus Internal Motivations Yield Animal-Like Behavior
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Burrow-centric distance-estimation methods inspired by surveillance behavior of fiddler crabs
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Analyzing the effect of landmark vectors in homing navigation
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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Returning home after an outward journey is a skill important to the survival of many insects and other animals. Many hymenopterans perform homing navigation using snapshot images taken at specific locations. Snapshot images can be processed in various ways, and this article focuses on the vector model of landmark distribution. In this article, we suggest a new landmark vector model with quantized distance information, and this method is highly successful for navigation without using a reference compass. The landmark distances based on egomotion can be obtained and this information produces a new type of homing navigation with landmark vectors. It includes varying sizes of landmark vectors, depending on the distance. We investigate the effect of quantized distance information or continuous distance in the landmark vectors for homing navigation performance. Even a few classes of discretization of landmark distances and a rough estimation of the current agent location can show excellent homing performance. Our experimental results are compared with those of other conventional navigation algorithms.