In this paper, one solution for an end-to-end deep neural network for autonomous driving is
presented. The main objective of our work was to achieve autonomous driving with a light …

Autonomous Vehicles (AVs) have caught people's attention in recent years, not only from an
academic or developmental viewpoint but also because of the wide range of applications …

The global automotive industry is giving a difficult and common test in order to create
advanced life models in the near future plans or scenarios that include current autonomous …

New road transportation systems solutions create significant changes in existing automotive
manufacturing industry products and technologies, from design to use. The conveniences …

Artificial Intelligence (AI) has been improving and widely spreading to be an integral part of
many applications, including IoT, IoV, and smart cities, among other known applications …

Autonomous systems, including autonomous cars, have become a prominent research topic
in recent years due to their potentials for improving safety for users and the potential …

Bu çalışmanın amacı sürücüsüz araçlara yönelik örnek toplama açısından verimli bir uçtan
uca derin öğrenme algoritması geliştirmektir. Bunu da elde edilen örnekleri seçici olarak …

A method includes receiving sensed vehicle-state data, actuation-command data, and
surface-coefficient data from a plurality of remote vehicles, inputting the sensed vehicle-state …

Steering a car through traffic is a complex task that is difficult to cast into algorithms.
Therefore, researchers turn to train artificial neural networks from front-facing camera data …