Self-Driving Car Based CNN Deep Learning Model
Ibrahim, A., Ibrahim, O., Na'eem, A., Hanna, A., Ezz, S., Mohamed, M., Abdel Hameed, H., Sanad, F., Hassan, H., Refky, A., Abdel Ghany, A. (2022). Self-Driving Car Based CNN Deep Learning Model. EKB Journal Management System, 6(6), 1-8. doi: 10.21608/iugrc.2022.303140
Amin S. Ibrahim; Omer M. Ibrahim; Ahmed M. Na'eem; Andrew S. Hanna; Shady M. Ezz; Mohamed R. Mohamed; Hassan M. Abdel Hameed; Felopateer Sanad; Hossam I. Hassan; Adel Refky; A. M. Abdel Ghany. "Self-Driving Car Based CNN Deep Learning Model". EKB Journal Management System, 6, 6, 2022, 1-8. doi: 10.21608/iugrc.2022.303140
Ibrahim, A., Ibrahim, O., Na'eem, A., Hanna, A., Ezz, S., Mohamed, M., Abdel Hameed, H., Sanad, F., Hassan, H., Refky, A., Abdel Ghany, A. (2022). 'Self-Driving Car Based CNN Deep Learning Model', EKB Journal Management System, 6(6), pp. 1-8. doi: 10.21608/iugrc.2022.303140
Ibrahim, A., Ibrahim, O., Na'eem, A., Hanna, A., Ezz, S., Mohamed, M., Abdel Hameed, H., Sanad, F., Hassan, H., Refky, A., Abdel Ghany, A. Self-Driving Car Based CNN Deep Learning Model. EKB Journal Management System, 2022; 6(6): 1-8. doi: 10.21608/iugrc.2022.303140

Self-Driving Car Based CNN Deep Learning Model

The International Undergraduate Research Conference
Volume 6, Issue 6, September 2022, Page 1-8  XML PDF (1.04 MB)
Document Type: Original Article
DOI: 10.21608/iugrc.2022.303140
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Authors
Amin S. Ibrahim; Omer M. Ibrahim; Ahmed M. Na'eem; Andrew S. Hanna; Shady M. Ezz; Mohamed R. Mohamed; Hassan M. Abdel Hameed; Felopateer Sanad; Hossam I. Hassan; Adel Refky; A. M. Abdel Ghany
Thebes Higher Institute for Engineering, Egypt.
Abstract
Artificial Intelligent (AI) technology is capable of thinking and recognizing environmental things based on the vast
amount of historical training data. AI technology can mimic the human brain with large and complicated computations and short processing time. One of the main challenges in our daily life is the rapid growth of accidents and deaths due to the wrong driving by citizens and unrespecting the traffic rules. Thus, AI technology is coming as a solution to solve this issue through the so-called self-driving car. In this paper, we proposed a self-driving car based on the Convolutional Neural Network (CNN) deep learning model in AI technology. The paper designed and implemented a self-driving car prototype to prove the concept and validate our experimental self-driving car model. It is remarked that a porotype is successfully trained and tested about 5000 images with very low training and validation loss of less than 0.05 and 0.12 respectively.
Keywords
Artificial Intelligent; Deep Learning; CNN model; Self-driving Car
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