Deep Learning: Is it the Main Challenge Behind Autonomous Vehicles Deployment? (original) (raw)

Enhancing the Reliability of Communication between Vehicle and Everything (V2X) Based on Deep Learning for Providing Efficient Road Traffic Information

Radwa Ahmed Osman

Applied Sciences

View PDFchevron_right

Optimizing Autonomous Vehicle Communication through an Adaptive Vehicle-to-Everything (AV2X) Model: A Distributed Deep Learning Approach

Radwa Ahmed Osman

Electronics

View PDFchevron_right

Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends

Lina Al Atabani

Hindawi Journal of Advanced Transportation, 2022

View PDFchevron_right

Deep Learning-aided Resource Orchestration for Vehicular Safety Communication

Jérôme Härri

2019

View PDFchevron_right

Intelligent Transportation using Deep Learning

Vijay Gujar

International Journal of Innovative Technology and Exploring Engineering, 2020

View PDFchevron_right

Deep Learning for advanced Vehicle Assistant

Athanasios Agrafiotis

View PDFchevron_right

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Richard Bowden

IEEE Transactions on Intelligent Transportation Systems

View PDFchevron_right

Deep Learning for Optical Vehicular Communication

Van Bui

IEEE Access, 2020

View PDFchevron_right

Deep Learning-aided Application Scheduler for Vehicular Safety Communication

Jérôme Härri

ArXiv, 2019

View PDFchevron_right

IJERT-Smart Vehicular Communication: A Survey

IJERT Journal

International Journal of Engineering Research and Technology (IJERT), 2020

View PDFchevron_right

Deep learning for self-driving cars

ariesa sirot

Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems, 2018

View PDFchevron_right

Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions

Amin Ullah

IEEE Transactions on Intelligent Transportation Systems, 2021

View PDFchevron_right

DIB - A Novel Optimized VANET Traffic Management Using a Deep Neural Network

Jahir Husain A

International Journal on Recent and Innovation Trends in Computing and Communication

View PDFchevron_right

Application of Deep Learning to Autonomous Robotic Car

AYANGBEKUN Oluwafemi J., Engr O Shoewu, B.Sc, M.Sc, PhD

International Journal of Computer Applications , 2021

View PDFchevron_right

Deep learning methods in transportation domain: a review

Hoang Vien Nguyen

IET Intelligent Transport Systems, 2018

View PDFchevron_right

Deep Learning for Advanced Driver Assistance Systems

Werner Ritter

River Publishers eBooks, 2022

View PDFchevron_right

Deep Learning-Based Big Data Analytics for Internet of Vehicles: Taxonomy, Challenges, and Research Directions

Liyana Shuib

Mathematical Problems in Engineering, 2021

View PDFchevron_right

Towards an Optimal MEC Resources Dimensioning for Vehicle Collision Avoidance System: A Deep Learning Approach

Bouziane Brik

2021

View PDFchevron_right

Developing vehicle-based traffic conflict prediction algorithms using deep learning

Nicolette Formosa

2022

View PDFchevron_right

DEEP LEARNING APPROACHES FOR AUTONOMOUS VEHICLE NAVIGATION IN URBAN ENVIRONMENTS

IAEME Publication

IAEME PUBLICATION, 2022

View PDFchevron_right

MIT Autonomous Vehicle Technology Study: Large-Scale Deep Learning Based Analysis of Driver Behavior and Interaction with Automation

Anil Kumar M

View PDFchevron_right

Traffic Forecasting using Vehicle-to-Vehicle Communication

Lejun Jiang

2021

View PDFchevron_right

Use of CNN(YOLO) in Self Driving vehicles

IOSR Journals

View PDFchevron_right

Why is Internet of Autonomous Vehicles not as Plug and Play as We Think ? Lessons to Be Learnt From Present Internet and Future Directions

Bilal Khawaja

IEEE Access, 2020

View PDFchevron_right

IJERT-Training a Convolutional Neural Network for Driverless Car

IJERT Journal

International Journal of Engineering Research and Technology (IJERT), 2021

View PDFchevron_right

Deep learning algorithms and mechanisms in navigation for vehicular crowd managementsystems in real-time for smart transportation

Dr. Kuldeep Singh Kaswan

Research Square (Research Square), 2023

View PDFchevron_right

Implementation of Deep Learning Algorithm on a Custom Dataset for Advanced Driver Assistance Systems Applications

Kathirvelan Jayaraman

Applied Sciences

View PDFchevron_right

Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles

Onur Altintas

2020 IEEE Intelligent Vehicles Symposium (IV), 2020

View PDFchevron_right

Multimodal Feature-Assisted Continuous Driver Behavior Analysis and Solving for Edge-Enabled Internet of Connected Vehicles Using Deep Learning

Heba Fasihuddin

Applied Sciences, 2021

View PDFchevron_right