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Minying Ye and Kanji Tanaka
Self-localization is a crucial requirement for visual robot place recognition. Particularly, the 3D point cloud obtained from 3D laser rangefinders (LRF) is applied to it. The critical part is the efficiency and accuracy of place recognition of visual ro...
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Ana Rita Gaspar and Aníbal Matos
Some structures in the harbour environment need to be inspected regularly. However, these scenarios present a major challenge for the accurate estimation of a vehicle?s position and subsequent recognition of similar images. In these scenarios, visibility...
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Staas de Jong and Gerrit van der Veer
The retinal afterimage is a widely known effect in the human visual system, which has been studied and used in the context of a number of major art movements. Therefore, when considering the general role of computation in the visual arts, this begs the q...
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Chong Shen, Xiaochen Liu, Huiliang Cao, Yuchen Zhou, Jun Liu, Jun Tang, Xiaoting Guo, Haoqian Huang and Xuemei Chen
Animals have certain cognitive competence about the environment so they can correct their navigation errors. Inspired by the excellent navigational behavior of animals, this paper proposes a brain-like navigation scheme to improve the accuracy and intell...
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Bo Yang, Xiaosu Xu, Jun Li and Hong Zhang
Landmark generation is an essential component in landmark-based visual place recognition. In this paper, we present a simple yet effective method, called multi-scale sliding window (MSW), for landmark generation in order to improve the performance of pla...
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Morteza Karimzadeh and Alan M. MacEachren
Ground-truth datasets are essential for the training and evaluation of any automated algorithm. As such, gold-standard annotated corpora underlie most advances in natural language processing (NLP). However, only a few relatively small (geo-)annotated dat...
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