Role of computers in material science and design of classification model to search for the vacancy in outdoor parking lots
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference23 articles.
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3. L. Baroffio, L. Bondi, M. Cesana, A. E. Redondi, and M. Tagliasacchi, “A visual sensor network for parking lot occupancy detection in Smart Cities,” in IEEE World Forum on Internet of Things, WF-IoT 2015 - Proceedings, 2015, pp. 745–750.
4. M. Tschentscher, C. Koch, M. König, J. Salmen, and M. Schlipsing, “Scalable real-time parking lot classification: An evaluation of image features and supervised learning algorithms,” in Proceedings of the International Joint Conference on Neural Networks, 2015, vol. 2015-Septe.
5. M. Ahrnbom K. Astrom M. Nilsson “Fast Classification of Empty and Occupied Parking Spaces Using Integral Channel Features”, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2016 1609 1615.
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3. On-street Parking Guidance System Based on Real Distance Optimization Method;2023 IEEE 14th Control and System Graduate Research Colloquium (ICSGRC);2023-08-05
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