A hybrid deep learning based autonomous vehicle navigation and obstacles avoidance

HA Ibrahim, AT Azar, ZF Ibrahim, HH Ammar - Proceedings of the …, 2020 - Springer
Technological revolution has reached all life activities starting from day planning reaching
communication, entertainment, industry, and transportation. Each of previously mentioned …

Deep learning techniques for obstacle detection and avoidance in driverless cars

N Sanil, V Rakesh, R Mallapur… - … Conference on Artificial …, 2020 - ieeexplore.ieee.org
With the advent of Internet of Things (IoT), The realization of smart city seems to be very
imminent. One of the key parts of a cyber physical system of urban life is transportation. This …

End-to-end deep learning model for steering angle control of autonomous vehicles

A Khanum, CY Lee, CS Yang - 2020 International Symposium …, 2020 - ieeexplore.ieee.org
Recently brilliant evolutions in the machine learning research area of autonomous self-
driving vehicles. Unlike a modern rule-based method, this study has been supervised on the …

A virtual simulation environment using deep learning for autonomous vehicles obstacle avoidance

LH Meftah, R Braham - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Autonomous vehicles which are capable of operating independently will be commercially
available in the near future. Autonomous driving systems are becoming more complicated …

Autonomous car using CNN deep learning algorithm

I Sonata, Y Heryadi, L Lukas… - Journal of Physics …, 2021 - iopscience.iop.org
Autonomous cars have become an interesting discussion in recent years. Several major
automotive industries such as Tesla, GM and Nissan are trying to become pioneers in …

comparison of machine learning algorithm's on self-driving car navigation using Nvidia Jetson Nano

W Vijitkunsawat, P Chantngarm - 2020 17th International …, 2020 - ieeexplore.ieee.org
The vehicle is the most facility for business and living in the present. The vehicle is used in
abundant activities, which lead to an increasing number of accidents on the roads. Many …

Applying deep learning to autonomous vehicles: A survey

J Ren, H Gaber, SS Al Jabar - 2021 4th International …, 2021 - ieeexplore.ieee.org
Autonomous vehicles will revolutionize the future automotive industry by reducing or
eliminating human errors and increasing vehicle safety. The design of autonomous vehicles …

Deep learning using computer vision in self driving cars for lane and traffic sign detection

N Kanagaraj, D Hicks, A Goyal, S Tiwari… - International Journal of …, 2021 - Springer
Recently, the amount of research in the field of self-driving cars has grown significantly with
autonomous vehicles having clocked in more than 10 million miles, providing a substantial …

Computer vision for autonomous driving

B Kanchana, R Peiris, D Perera… - … on advancements in …, 2021 - ieeexplore.ieee.org
Computer vision in self-driving vehicles can lead to research and development of futuristic
vehicles that can mitigate the road accidents and assist in a safer driving environment. By …

A comprehensive survey on autonomous driving cars: A perspective view

S Devi, P Malarvezhi, R Dayana… - Wireless Personal …, 2020 - Springer
Over the past decades Machine Learning and Deep Learning algorithm played a vital part in
the development of Autonomous Vehicle. It is indeed for the perception system to examine …