How to combine issues related to autonomous vehicles-a proposal with a literature review

J Balcerek, P Pawłowski - 2023 Signal Processing: Algorithms …, 2023 - ieeexplore.ieee.org
This article proposes a model that combines the issues related to autonomous vehicles into
seven groups. The groups are included in mutual iterations between the user, the …

Robotic vision based obstacle avoidance for navigation of unmanned aerial vehicle using fuzzy rule based optimal deep learning model

KNVS Varma, SL Kumari - Evolutionary Intelligence, 2023 - Springer
Recently, the topics associated with robotics are becoming an interesting research area.
Meanwhile, intelligent mobile robots or unmanned aerial vehicle (UAV) has great …

Real-time monocular vision-based UAV obstacle detection and collision avoidance in GPS-denied outdoor environments using CNN MobileNet-SSD

DS Levkovits-Scherer, I Cruz-Vega… - Advances in Soft …, 2019 - Springer
In this paper, we propose a monocular vision-based system that uses a MobileNet-SSD
CNN for obstacle detection and collision avoidance in GPS-denied outdoor environments …

Autonomous Control of a RC Car with a Convolutional Neural Network

D Krasheninnikov - 2017 - theseus.fi
Autonomous vehicles promise large benefits for humanity, such as a significant reduction of
injuries and deaths in traffic accidents, and more efficient utilization of transportation leading …

Automatic pose estimation of micro unmanned aerial vehicle for autonomous landing

M Shrestha, SP Panday, B Joshi, A Shakya… - … Conference, ICIC 2020 …, 2020 - Springer
The guided navigation has enabled users with minimal amount of training to navigate and
perform flight mission of micro unmanned aerial vehicle (MAV). In non-urban areas, where …

Urban Intelligent Navigator for Drone Using Convolutional Neural Network (CNN)

IGMI Moteir, K Ismail, FM Zawawi… - … Conference on Smart …, 2019 - ieeexplore.ieee.org
It is still a difficult and challenging task for a drone to maneuver autonomously at low altitude
in the urban environments. This is due to the complexity of the urban environment and its …

Rough Terrain Autonomous Vehicle Control Using Google Cloud Vision API

M Sugadev, PK Sanghamreddy… - 2019 2nd International …, 2019 - ieeexplore.ieee.org
Computer vision (CV) represents a technology using which information contained in a visual
scenery is obtained by capturing and digital processing of the images. Computer vision is …

[PDF][PDF] Current stage of autonomous driving through a quick survey for novice

S Sarraf - American Scientific Research Journal for Engineering …, 2020 - researchgate.net
Today, autonomous driving is considered a branch of artificial intelligence in which various
technologies are employed, ranging from computer vision to machine learning-based …

Proposal of an autonomous vehicle control architecture

CR Pozna, C Antonya - 2021 IEEE 25th International …, 2021 - ieeexplore.ieee.org
In this paper, a control program architecture is proposed for autonomous vehicles. This set of
programs is structured in a hierarchy and it is inspired by the human driver behavior. It …

End-to-end deep learning applied in autonomous navigation using multi-cameras system with RGB and depth images

JAD Amado, IP Gomes, J Amaro… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
The present work demonstrates how an autonomous navigation system ofEnd-to-End'deep
learning principles is directly improved in its response process, depending on the …