Autonomous Car Behavioral Training Using Deep Neural Network

Authors

  • Jiayi Gao

DOI:

https://doi.org/10.54097/mkny71cuq7

Keywords:

Deep learning, AI, Self-driving car, Model training, Neural network

Abstract

Autonomous driving is becoming increasingly prevalent nowadays. With the help of a number of images of car movement from the Kaggle self-driving dataset, we explore the feasibility of utilizing the images obtained to train a deep neural network to detect and predict the steering angle, which is the critical part of the car behavior. Since deep neural networks have emerged as powerful tools for training autonomous cars and learning about and improving their driving behaviors, we incorporate convolutional layers and additional layers in the deep neural network architecture so that it can capture the behaviors appropriately and provide effective results. We demonstrate that the implementation of this approach is successful and that the corresponding implementation highlights the potential of deep neural network in advancing autonomous car technology. Our comprehensive evaluation suggests that further research should concentrate on refining the network architecture and enhancing perception capabilities in order to deliver promising advances to the field.

References

Bojarski M ,Testa D D ,Dworakowski D , et al.End to End Learning for Self-Driving Cars. [J]. CoRR, 2016, abs / 1604. 07316.

Codevilla F ,Matthias Müller, Dosovitskiy A ,et al.End-to-end Driving via Conditional Imitation Learning[J]. 2017.

DOI:10.1109/icra.2018.8460487.

Huang K , Shi B , Li X ,et al.Multi-modal Sensor Fusion for Auto Driving Perception: A Survey[J]. 2022.

DOI:10.48550/arXiv.2202.02703.

Song X , Wang P , Zhou D ,et al.ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving [J].IEEE, 2018.

DOI:10.1109/CVPR.2019.00560.

Upamanyu K , Ramaswamy I P .The Effects of Image Augmentation on Efficiency of a Convolutional Neural Network of a Self-Driving Car[J].rScroll, 2021(2).

DOI:10.47611/JSRHS.V10I2.1486.

Smolyakov M V , Frolov A I , Volkov V N ,et al.Self-Driving Car Steering Angle Prediction Based On Deep Neural Network An Example Of CarND Udacity Simulator[C]//Advanced Industrial Conference on Telecommunications. IEEE, 2018.

DOI:10.1109/icaict.2018.8747006.

Wang D ,Wen J ,Wang Y , et al.End-to-End Self-Driving Using Deep Neural Networks with Multi-auxiliary Tasks [J]. Automotive Innovation,2019,2(2):127-136.

Downloads

Published

28-02-2024

Issue

Section

Articles

How to Cite

Gao, J. (2024). Autonomous Car Behavioral Training Using Deep Neural Network. Journal of Computing and Electronic Information Management, 12(1), 48-53. https://doi.org/10.54097/mkny71cuq7

Similar Articles

1-10 of 140

You may also start an advanced similarity search for this article.