Intelligent vision-based navigation system for mobile robot: A technological review

Fauadi, Muhammad Hafidz Fazli Md; Akmal, Suriati; Ali, Mahasan Mat; Anuar, Nurul Izah; Ramlan, Samad; Noor, Ahamad Zaki Mohd; Awang, Nurfadzylah

doi:10.21533/pen.v6i2.174

Cited by 15 publications

(3 citation statements)

References 35 publications

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“…Small UAVs may feature limited computational and energy resources, challenging autonomous navigation. So far, visual-based navigation is the most used configuration because low-power computer vision systems are becoming more and more accessible [2,3]. Researchers have recently proposed combining visionbased systems with Machine Learning (ML) algorithms to bring intelligence into UAV's missions.…”

Section: Related Workmentioning

confidence: 99%

Design and Deployment of an Efficient Landing Pad Detector

Albanese

Taccioli

Apicella

et al. 2022

Lecture Notes in Networks and Systems

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Robust landing pad detection plays a major role in Autonomous Unmanned Aerial Vehicles (UAVs). This problem can be approached using deep neural networks for vision-based inference. However, the full integration of deep learning algorithms into the small UAVs is still challenging for their limited resources. This paper presents a landing pad detection pipeline based on a revisited version MobileNetV3-Small. The proposed architecture inherits robustness from the general-purpose version but limits the computational cost significantly thanks to a set of design criteria aimed to limit hardware requirements. Experimental results confirm that the proposed network compares favorably with a lightweight general-purpose object detector in terms of accuracy/computational cost trade-off. The system is also deployed on a commercial general-purpose microcomputer confirming that satisfactory performance can be obtained on general-purpose embedded architectures.

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Section: Related Workmentioning

confidence: 99%

Design and Deployment of an Efficient Landing Pad Detector

Albanese

Taccioli

Apicella

et al. 2022

Lecture Notes in Networks and Systems

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“…Vision sensors present an alternative for the above sensors, or a complementary measure to ensure accuracy in real-time applications. Laser, ultrasonic or infrared sensors give data in an imperceptible way, from light radiation or sound signals transmitted from a source mounted on the robot, for example [22]. The system could produce inaccuracies due to the interruption of the traveling signal caused by disturbances in the surrounding environment.…”

Section: Shopfloor Perceptionmentioning

confidence: 99%

Enabling Flexibility in Manufacturing by Integrating Shopfloor and Process Perception for Mobile Robot Workers

et al. 2021

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Robotic flexibility in industry is becoming more and more relevant nowadays, especially with the rise of the Industry 4.0 concept. This paper presents a smart execution control framework for enabling the autonomous operation of flexible mobile robot workers. These robot resources are able to autonomously navigate the shopfloor, undertaking multiple operations while acting as assistants to human operators. To enable this autonomous behavior, the proposed framework integrates robot perception functions for the real-time shopfloor and process understanding while orchestrating the process execution. A Digital World Model is deployed synthesizing the sensor data coming from multiple 2D and 3D sensors from the shopfloor. This model is consumed for the perception functions enabling the real-time shopfloor and process perception by the robot workers. This smart control system has been applied and validated in a case study from the automotive sector.

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“…In addition, the module can be used in the hospitals, hotels, cars and in the industries that use LPG gas as substantial applications. The detection process of the gas in this work excites multiple measurements such as alarm systems, control devices and communication systems based on the Global System for Mobile Communication (GSM) module [4,5,6].…”

Section: Introductionmentioning

confidence: 99%

GSM based gas leak monitoring system

Mahmood¹,

Aris²,

Hussain³

2019

PEN

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This paper used a safe wireless module to detect a gas leakage. The module is household use application where home fires or Liquefied Petroleum Gas (LPG) are classified as the reason of the disasters. The LPG is considered as the most inflammable gases that can ignite fires even in the far distances where gas leak exists. The module can be applied in several places particularly in the fabrications that depend mainly on LPG gas to manage their works. According to the facilities offered by this work, the whole module is functionally separated to perform two tasks identified by gas leak monitoring and the precautions taken accordingly. The module reads the gas sensor in a proposed environment to discover whether gas concentration exceeds a specified range. The system will be activated once the module detects that the gas concentration is altered, and accordingly the control action turns the alarm system alongside with air puller device ON, and sends a warning SMS to a certain recipient using GSM module.

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Intelligent vision-based navigation system for mobile robot: A technological review

Cited by 15 publications

References 35 publications

Design and Deployment of an Efficient Landing Pad Detector

Design and Deployment of an Efficient Landing Pad Detector

Enabling Flexibility in Manufacturing by Integrating Shopfloor and Process Perception for Mobile Robot Workers

GSM based gas leak monitoring system

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