A Survey on Traffic Sign Recognition, Pedestrian Detection Techniques, and Vehicle Detection Techniques for Autonomous Vehicles
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3311-0_13
Reference20 articles.
1. Bouti A et al (2020) A robust system for road sign detection and classification using LeNet architecture based on convolutional neural network. Springer Professional
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3. Wang L et al (2019) Fast pedestrian detection and tracking based on vibe combined Hog-Svm scheme. Int J Innov Comput Inf Control
4. Mohammed H, Hussain Z (2021) Detection and recognition of moving video objects: kalman filtering with deep learning. (IJACSA) Int J Adv Comput Sci Appl
5. Aloysius N, Geetha M (2017) A review on deep convolutional neural networks. In: International conference on communication and signal processing (ICCSP)
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