Generative Adversarial Networks to Improve the Nature of Training in Autonomous Vehicles-Reference-Cited by-同舟云学术

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Generative Adversarial Networks to Improve the Nature of Training in Autonomous Vehicles

Published:2023-05-11 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Disruptive Technologies (ICDT)
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Author:

Sampath Kumar R.¹,Krishnamurthy V. P.¹,Podile Venkateswararao²,Yamini Priyanka G³,Neha Vemulapalli³

Affiliation:

1. Er. Perumal Manimekalai College of Engineering,Dept. of Aeronautical Engineering,Hosur, Krishnagiri,Tamil Nadu,India

2. Erode Sengunthar Engineering College,Dept. of Mechanical Engineering,Erode,Tamil Nadu,India

3. Koneru Lakshmaiah Education Foundation (Deemed to be University),KL Business School,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10150433/10150449/10151288.pdf?arnumber=10151288

Reference15 articles.

1. GVnet: Gaussian model with voxel-based 3D detection network for autonomous driving

2. Robust object detection under harsh autonomous‐driving environments

3. Initialization of Random Vectors to Enhance Defense-GAN for Image Classification

4. A training dataset for semantic segmentation of urban point cloud map for intelligent vehicles

5. Mathematical Implementation of Fusion of Medical Images in Continuous Wavelet Domain;yadav;Journal of Advanced Research in dynamical and control system,2019

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1. Ccnets: Brain -Inspired Approach for Enhanced Pattern Recognition in Imbalanced Datasets;2024

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