Evaluation of Deep Learning Technique on Working Model of Self-driving Car—A Review-Reference-Cited by-同舟云学术

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Evaluation of Deep Learning Technique on Working Model of Self-driving Car—A Review

Published:2023 Issue: Volume: Page:265-277
ISSN:2367-3370
Container-title:Soft Computing: Theories and Applications
language:
Short-container-title:

Author:

Sangwan Somin,Singh Gurpreet,Bangia Aashima,Goswami Vishwajeet Shankar

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9858-4_23

Reference25 articles.

1. Lal AM, Aju D (2021) Deep learning models for object detection in self-driven cars. In: Integrating deep learning algorithms to overcome challenges in big data analytics. CRC Press, pp 17–38

2. Batista KBDSL (2018) Self-driven cars, self-driven patients, and company-driven orthodontists? Angle Orthodont 88(6):841

3. Shrestha A, Mahmood A (2019) Review of deep learning algorithms and architectures. IEEE Access 7:53040–53065

4. Anderson JA (1995) An introduction to neural networks. MIT Press

5. Giri JP, Giri PJ, Chadge R (2018) Neural network-based prediction of productivity parameters. Soft computing: theories and applications. Springer, Singapore, pp 83–95

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