HOPAV: Hybrid optimization‐oriented path planning for non‐connected and connected automated vehicles

A Babu, T Kavitha, RP de Prado… - IET Control Theory & …, 2023 - Wiley Online Library
Over the past ten years, autonomous driving has garnered a great deal of interest from both
the scientific community and business. Strong technological advancements have made …

Intelligent management system of the automobile road's technical and operational condition in the cryolithozone

AN Yakubovich, IA Yakubovich… - 2019 Systems of …, 2019 - ieeexplore.ieee.org
A functional scheme of technical and operational condition (TOC) management of the
automobile road located on permafrost soil is offered. An intelligent information system is …

Control system design for an automatic emergency braking system in a sedan vehicle

O Garcia-Bedoya, S Hirota… - 2019 2nd Latin American …, 2019 - ieeexplore.ieee.org
The Automatic Emergency Braking (AEB) systems in vehicles is one of the technologies
suggested by NHTSA to be included in vehicles by default. This article presents the dynamic …

Detection of emergency braking intention using driver's electroencephalographic signals

LG Hernández-Rojas, E Martínez… - IEEE Latin America …, 2019 - ieeexplore.ieee.org
This work investigates the recognition of the intention to perform emergency braking from
driver's electroencephalographic (EEG) signals. To do so, brain signals and vehicle data …

[PDF][PDF] Sensor fusion tests for an autonomous vehicle, using Extended Kalman Filter

O Garcia-Bedoya, J Ferreira - J. Eng. Sci. Technol, 2018 - jestr.org
Intelligent and autonomous vehicle concepts have received a great degree of attention in
recent years. In addition to a set of sensors, actuators, mechanism, and components …

An embedded software architecture for the development of a cooperative autonomous vehicle

O Garcia-Bedoya, JV Ferreira - International Journal of …, 2022 - inderscienceonline.com
Autonomous vehicles will be a reality in the next decade, transforming mobility, turning
vehicles into software-driven products. This article presents the hardware and software …

Deep Neural Networks Applied in Autonomous Vehicle Software Architecture

O Garcia-Bedoya, JV Ferreira… - Engineering …, 2021 - taylorfrancis.com
Autonomous vehicle (AV) is described as a software-defined vehicle which requires robust
hardware and software infrastructure to work between intensive resources tasks and real …

GPU-Implementation of a sequential monte carlo technique for the localization of an ackerman robot

O García, D Acosta, C Diaz - … , ICAI 2018, Bogotá, Colombia, November 1-3 …, 2018 - Springer
This article presents the parallel implementation, using a graphical processing unit (GPU), of
a Sequential Monte Carlo Method, which is a sophisticated model estimation technique …

Safe Driving Of Autonomous Vehicles Through Improved Deep Reinforcement Learning

A Gupta - rshare.library.torontomu.ca
In this thesis, we propose an environment perception framework for autonomous driving
using deep reinforcement learning (DRL) that exhibits learning in autonomous vehicles …

[引用][C] Deep learning models to detect pedestrian and intent estimation for autonomous vehicles

MA Cortes Capera - 2021 - Universidad de Bogotá Jorge Tadeo …