Review on autonomous vehicle challenges

SB Sarkar, BC Mohan - … Conference on Artificial Intelligence and Cognitive …, 2019 - Springer
In the growing of government participation, many countries like USA, UK, Japan attention the
production of autonomous car. Google is the first full autonomous car got the license for …

Object detection with deep neural networks for reinforcement learning in the task of autonomous vehicles path planning at the intersection

DA Yudin, A Skrynnik, A Krishtopik, I Belkin… - Optical Memory and …, 2019 - Springer
Among a number of problems in the behavior planning of an unmanned vehicle the central
one is movement in difficult areas. In particular, such areas are intersections at which direct …

The lateral control of autonomous vehicles: A review

B Arifin, BY Suprapto… - 2019 International …, 2019 - ieeexplore.ieee.org
Human need safety, comfort, and speed in driving-requirements that can be fulfiled by
autonomous vehicles that enable drivers to avoid obstacles and maintain a safe distance …

Algorithm of obstacle avoidance for autonomous surface vehicles based on LIDAR detection

L Li, Q Zhang, G Qi, K Zhang, M Li… - 2019 IEEE 3rd …, 2019 - ieeexplore.ieee.org
This paper mainly introduces the algorithm of avoiding obstacles based on the detection of
LIDAR and gives the results of simulation under environment of MATLAB. The image …

Adaptive trajectory generation of autonomous vehicle in urban environments

YT Lin, TM Hsu, ZH Zhang… - … Control Conference (CACS …, 2020 - ieeexplore.ieee.org
Adaptability of autonomous vehicle to road conditions is important to make driving safely in a
mixed environment of autonomous vehicle and human driven vehicles operating on the …

Navigation and control of autonomous vehicles using fusion of modern sensors

L Kis - 2013 - search.proquest.com
Vehicle navigation is in the focus of researchers nowadays. Plenty of questions emerge
which have no reliable answer for every case. In generality it can be said that most of the …

Vision-based Learning: a novel machine learning method based on convolutional neural networks and spiking neural networks

V Azimirad, SV Sotubadi… - 2021 9th RSI International …, 2021 - ieeexplore.ieee.org
The aim of this study is to autonomously control a Non-holonomic Mobile Robot using novel
learning-based control approaches. A Spiking Neural Network (SNN) is modeled and …

Optimal design of adaptive model predictive control based on improved GWO for autonomous vehicle considering system vision uncertainty

M Elsisi - Applied Soft Computing, 2024 - Elsevier
The tuning issue of the parameters and the system uncertainty represent big challenges in
most engineering applications. In this regard, a new tuning approach is developed for …

Multi uav based traffic control in smart cities

BY Yilmaz, SN Denizer - 2020 11th International conference on …, 2020 - ieeexplore.ieee.org
Internet of Things (IoTs) are one of the important technologies which can increase the quality
of human life in smart cities. Smart Cities are the municipalities which try to increase the …

Obstacle detection and distance estimation for autonomous electric vehicle using stereo vision and DNN

S Emani, KP Soman, VV Sajith Variyar… - Soft Computing and …, 2019 - Springer
Automation—replacement of humans with technology—is everywhere. It is going to become
far more widespread, as industries are continuing to adapt to new technologies and are …