Pedestrian Detection Using Transfer Learning for Intelligent Vehicle Systems
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7137-4_62
Reference23 articles.
1. Sha M, Boukerche A (2022) Performance evaluation of cnn-based pedestrian detectors for autonomous vehicles. Ad Hoc Netw 128:102784
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3. Dewangan DK, Sahu SP (2021) Road detection using semantic segmentation-based convolutional neural network for intelligent vehicle system. In: Data engineering and communication technology: proceedings of ICDECT 2020, Springer, pp 629–637
4. Dewangan DK, Sahu SP, Sairam B, Agrawal A (2021) Vldnet: Vision-based lane region detection network for intelligent vehicle system using semantic segmentation. Computing 103(12):2867–2892
5. Ojha A, Sahu SP, Dewangan DK (2021) Vehicle detection through instance segmentation using mask r-cnn for intelligent vehicle system. In: 2021 5th international conference on intelligent computing and control systems (ICICCS), IEEE, pp 954–959
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