A state-of-the-art analysis of obstacle avoidance methods from the perspective of an agricultural sprayer UAV's operation scenario

S Ahmed, B Qiu, F Ahmad, CW Kong, H Xin - Agronomy, 2021 - mdpi.com
Over the last decade, Unmanned Aerial Vehicles (UAVs), also known as drones, have been
broadly utilized in various agricultural fields, such as crop management, crop monitoring …

Intelligent robotic chair with thought control and communication aid using higher order spectra band features

SK Nataraj, F Al-Turjman, AHB Adom - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
In recent years, EEG-based navigation and communication systems for differentially enabled
communities have been progressively receiving more attention. To provide a navigation …

[HTML][HTML] An approach based on the ifcOWL ontology to support indoor navigation

E Gonzalez, JD Piñeiro, J Toledo, R Arnay… - Egyptian Informatics …, 2021 - Elsevier
This paper presents an indoor navigation support system based on the Building Information
Models (BIM) paradigm. Although BIM is initially defined for the Architecture, Engineering …

Design and implementation of advanced sensor systems for smart robotic wheelchairs: A review

S Sahoo, B Choudhury - Management Science Letters, 2024 - m.growingscience.com
Smart robotic wheelchairs have emerged as promising assistive devices to enhance mobility
and independence for individuals with mobility impairments. The successful integration of …

Augmented Kalman filter design in a localization system using onboard sensors with intrinsic delays

B Fariña, J Toledo, L Acosta - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
This article presents a novel approach to address the limitations of the conventional
augmented Kalman filter (AKF) when only onboard incremental sensors are used, which is a …

Classification of the sidewalk condition using self-supervised transfer learning for wheelchair safety driving

HY Yoon, JH Kim, JW Jeong - Sensors, 2022 - mdpi.com
The demand for wheelchairs has increased recently as the population of the elderly and
patients with disorders increases. However, society still pays less attention to infrastructure …

Deep learning-based obstacle detection and classification with portable uncalibrated patterned light

M Cornacchia, B Kakillioglu, Y Zheng… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
Autonomous navigation and obstacle avoidance systems are critically relevant and
important for visually impaired people, assisted driving applications, and autonomous …

Improving odometric model performance based on LSTM networks

B Fariña, D Acosta, J Toledo, L Acosta - Sensors, 2023 - mdpi.com
This paper presents a localization system for an autonomous wheelchair that includes
several sensors, such as odometers, LIDARs, and an IMU. It focuses on improving the …

Low Cost Magnetic Field Control for Disabled People

D Acosta, B Fariña, J Toledo, LA Sanchez - Sensors, 2023 - mdpi.com
Our research presents a cost-effective navigation system for electric wheelchairs that utilizes
the tongue as a human–machine interface (HMI) for disabled individuals. The user controls …

A novel algorithm to track closely spaced road vehicles using a low density flash lidar

V Kumar, SC Subramanian, R Rajamani - Signal Processing, 2022 - Elsevier
This paper develops a novel algorithm for tracking closely-spaced road vehicles using a low-
density flash lidar. Low-density flash lidars are recent to the automotive market and have …