Computer Vision and Machine Learning for Intelligent Sensing Systems / / edited by Jing Tian.

The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational i...

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Place / Publishing House:[Place of publication not identified] : : MDPI - Multidisciplinary Digital Publishing Institute,, 2023.
Year of Publication:2023
Language:English
Physical Description:1 online resource (244 pages)
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Summary:The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational investigations into sense-making methods, and discusses particular uses of intelligent sensing systems in autonomous driving and virtual reality.
Hierarchical level:Monograph
Statement of Responsibility: edited by Jing Tian.