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Chang-il Kim, Jinuk Park, Yongju Park, Woojin Jung and Yong-seok Lim
A traffic sign recognition system is crucial for safely operating an autonomous driving car and efficiently managing road facilities. Recent studies on traffic sign recognition tasks show significant advances in terms of accuracy on several benchmarks. H...
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Uddom Lee, Peng Jiang, Hongyi Wu and Chunsheng Xin
Image-based localization has been widely used for autonomous vehicles, robotics, augmented reality, etc., and this is carried out by matching a query image taken from a cell phone or vehicle dashcam to a large scale of geo-tagged reference images, such a...
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Wenhua Yu, Mayire Ibrayim and Askar Hamdulla
Text recognition is an important research topic in computer vision. Scene text, which refers to the text in real scenes, sometimes needs to meet the requirement of attracting attention, and there is the situation such as deformation. At the same time, th...
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Lingling Wang, Yixin Liu, Li Fu, Yaning Wang and Ning Tang
Adaptive navigation is the core of micro aerial vehicles (MAVs) conducting autonomous flights in diverse environments. Different navigation techniques are adopted according to the availability of navigation signals in the environment. MAVs must navigate ...
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Po-Tong Wang, Shao-Yu Lin, Jia-Shing Sheu
Pág. 213 - 221
With the development of artificial intelligence, public cloud service platforms have begun to provide common pretrained object recognition models for public use. In this study, a dynamic vehicle path-planning system is developed, which uses several gener...
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J. Gerard Wolff
This paper aims to describe how pattern recognition and scene analysis may with advantage be viewed from the perspective of the SP system (meaning the SP theory of intelligence and its realisation in the SP computer model (SPCM), both described in an app...
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Hanan Butt, Muhammad Raheel Raza, Muhammad Javed Ramzan, Muhammad Junaid Ali and Muhammad Haris
According to statistics, there are 422 million speakers of the Arabic language. Islam is the second-largest religion in the world, and its followers constitute approximately 25% of the world?s population. Since the Holy Quran is in Arabic, nearly all Mus...
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Shuai Ruan, Chaowei Tang, Xu Zhou, Zhuoyi Jin, Shiyu Chen, Haotian Wen, Hongbin Liu and Dong Tang
At present, deep learning drives the rapid development of face recognition. However, in the unconstrained scenario, the change of facial posture has a great impact on face recognition. Moreover, the current model still has some shortcomings in accuracy a...
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Ladislav Karrach, Elena Pivarciová and Pavol Bozek
Mobile robot navigation, automatic object identification and tracking.
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Zhiqiang Xu, Yumin Chen, Fan Yang, Tianyou Chu and Hongyan Zhou
The recognition of postearthquake scenes plays an important role in postearthquake rescue and reconstruction. To overcome the over-reliance on expert visual interpretation and the poor recognition performance of traditional machine learning in postearthq...
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Jia-Shing Sheu, Chen-Yin Han
This study developed scene recognition and cloud computing technology for real-time environmental image-based regional planning using artificial intelligence. TensorFlow object detection functions were used for artificial intelligence technology. First, ...
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Jia-Shing Sheu, Chen-Yin Han
Pág. 10 - 17
This study developed scene recognition and cloud computing technology for real-time environmental image-based regional planning using artificial intelligence. TensorFlow object detection functions were used for artificial intelligence technology. First, ...
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Imran Ashraf, Soojung Hur and Yongwan Park
Indoor localization systems are susceptible to higher errors and do not meet the current standards of indoor localization. Moreover, the performance of such approaches is limited by device dependence. The use of Wi-Fi makes the localization process vulne...
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Xu-Feng Xing, Mir-Abolfazl Mostafavi and Seyed Hossein Chavoshi
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Jiangfan Feng and Amin Fu
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Huiyong Wang, Liang Guo, Ding Yang and Xiaoming Zhang
Road intelligence monitoring is an inevitable trend of urban intelligence, and clothing information is the main factor to identify pedestrians. Therefore, this paper establishes a multi-information clothing recognition model and proposes a data augmentat...
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Ranjini Surendran, Ines Chihi, J. Anitha and D. Jude Hemanth
Scene understanding is one of the most challenging areas of research in the fields of robotics and computer vision. Recognising indoor scenes is one of the research applications in the category of scene understanding that has gained attention in recent y...
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Hirokazu Madokoro, Kazuhito Sato and Nobuhiro Shimoi
This paper presents a vision-based indoor scene recognition method from aerial time-series images obtained using a micro air vehicle (MAV). The proposed method comprises two procedures: a codebook feature description procedure, and a recognition procedur...
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Wei Ma, Hanjiang Xiong, Xuefeng Dai, Xianwei Zheng and Yan Zhou
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Jui-Yuan Su, Shyi-Chyi Cheng, Chin-Chun Chang and Jing-Ming Chen
The image-based 3D scene modeling technique has potential applications in robotics, augmented reality (AR), geodesy, remote sensing, 3D face recognition, drone or vehicle navigation, and 3D printing.
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