Pub Date : 2023-06-08DOI: 10.1109/iwasi58316.2023.10164392
{"title":"Session 6: Sensors and detectors for high-energy physics","authors":"","doi":"10.1109/iwasi58316.2023.10164392","DOIUrl":"https://doi.org/10.1109/iwasi58316.2023.10164392","url":null,"abstract":"","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115861147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-08DOI: 10.1109/IWASI58316.2023.10164553
Stefano Calvo, Mattia Barezzi, D. Demarchi, U. Garlando
Population growth and global warming are the main threats to food production. Food security, producing enough food for the entire population, is becoming harder, and new strategies must be applied. Smart agriculture tackles this problem by integrating field sensors and data with the farmers’ knowledge to increase crop yield and reduce resource waste.This paper proposes a system to monitor the plant water stress status. This system monitors the plant directly and does not rely on environmental sensors. Acquired data are sent to a remote server thanks to LoRa communication. The designed system is low-power and relies on a single battery with more than five years of expected lifetime. The system monitors the trunk electrical impedance of plants thanks to a relaxation oscillator with a portion of the trunk in the feedback loop. This way, changes in the impedance are reflected in changes in the oscillator frequency.Two systems were installed directly in the fields and connected to apple trees. Statistical analyses were performed on the acquired data. The correlation between the trunk frequency values and the soil water potential is above 75% for both plants.The proposed system is low-power and low-cost and could be directly adopted in the fields. It can detect the water status of plants directly, avoiding environmental sensors.
{"title":"In-vivo proximal monitoring system for plant water stress and biological activity based on stem electrical impedance","authors":"Stefano Calvo, Mattia Barezzi, D. Demarchi, U. Garlando","doi":"10.1109/IWASI58316.2023.10164553","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164553","url":null,"abstract":"Population growth and global warming are the main threats to food production. Food security, producing enough food for the entire population, is becoming harder, and new strategies must be applied. Smart agriculture tackles this problem by integrating field sensors and data with the farmers’ knowledge to increase crop yield and reduce resource waste.This paper proposes a system to monitor the plant water stress status. This system monitors the plant directly and does not rely on environmental sensors. Acquired data are sent to a remote server thanks to LoRa communication. The designed system is low-power and relies on a single battery with more than five years of expected lifetime. The system monitors the trunk electrical impedance of plants thanks to a relaxation oscillator with a portion of the trunk in the feedback loop. This way, changes in the impedance are reflected in changes in the oscillator frequency.Two systems were installed directly in the fields and connected to apple trees. Statistical analyses were performed on the acquired data. The correlation between the trunk frequency values and the soil water potential is above 75% for both plants.The proposed system is low-power and low-cost and could be directly adopted in the fields. It can detect the water status of plants directly, avoiding environmental sensors.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131990833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-08DOI: 10.1109/IWASI58316.2023.10164525
C. Caliendo, D. Cannatà, M. Benetti, A. Buzzin
c-axis oriented piezoelectric ZnO layers were grown by rf reactive magnetron sputtering technique onto fused silica substrates. The propagation of the fundamental mode, the Rayleigh wave, and its harmonics (third and ninth) was excited by metal interdigitated transducers (80 μm wavelength) photolithographically implemented onto the free surface of the ZnO layer (4 μm thick). The acoustoelectric effect, the waves velocity changes induced by the UV light adsorption in the photoconductive ZnO layer, was experimentally investigated at some UV power densities 365 nm. The ZnO/fused silica substrates were illuminated from the top surface or from the back surface of the ZnO layer (through the fused silica substrate) for UV power values up to about 0.45 W. The sensors sensitivities, the relative velocity shift per unit UV power density, were calculated for the fundamental and third harmonic modes for top illumination (1044 and 2305 ppm/(mWcm-2) and for back illumination (1084 and 2488 ppm/(mWcm-2). The third harmonic wave, whose resonant frequency is about three times the resonant frequency of the fundamental mode, has sensitivity larger than that of the latter. Both the two sensors tested under back illumination have a sensitivity larger than that measured under front illumination. The ninth harmonic mode as well was tested for UV sensing at 365 nm: it is sensitive to UV but its sensitivity could not be measured with good accuracy due to the high insertion loss of the mode (equal to - 80 dB) which was much larger than that of the fundamental and third harmonic mode (equal to -62 and -50 dB).
{"title":"UV sensors based on the propagation of the fundamental and third harmonic Rayleigh waves in ZnO/fused silica","authors":"C. Caliendo, D. Cannatà, M. Benetti, A. Buzzin","doi":"10.1109/IWASI58316.2023.10164525","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164525","url":null,"abstract":"c-axis oriented piezoelectric ZnO layers were grown by rf reactive magnetron sputtering technique onto fused silica substrates. The propagation of the fundamental mode, the Rayleigh wave, and its harmonics (third and ninth) was excited by metal interdigitated transducers (80 μm wavelength) photolithographically implemented onto the free surface of the ZnO layer (4 μm thick). The acoustoelectric effect, the waves velocity changes induced by the UV light adsorption in the photoconductive ZnO layer, was experimentally investigated at some UV power densities 365 nm. The ZnO/fused silica substrates were illuminated from the top surface or from the back surface of the ZnO layer (through the fused silica substrate) for UV power values up to about 0.45 W. The sensors sensitivities, the relative velocity shift per unit UV power density, were calculated for the fundamental and third harmonic modes for top illumination (1044 and 2305 ppm/(mWcm-2) and for back illumination (1084 and 2488 ppm/(mWcm-2). The third harmonic wave, whose resonant frequency is about three times the resonant frequency of the fundamental mode, has sensitivity larger than that of the latter. Both the two sensors tested under back illumination have a sensitivity larger than that measured under front illumination. The ninth harmonic mode as well was tested for UV sensing at 365 nm: it is sensitive to UV but its sensitivity could not be measured with good accuracy due to the high insertion loss of the mode (equal to - 80 dB) which was much larger than that of the fundamental and third harmonic mode (equal to -62 and -50 dB).","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130606409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-08DOI: 10.1109/IWASI58316.2023.10164513
R. Radogna, A. Stamerra, Caterina Aruta, A. Colaleo, L. Longo, A. Pellecchia, R. Venditti, P. Verwilligen, A. Zaza
The proposal to create a Muon Collider with Multi-TeV energy levels presents an unprecedented opportunity for advancing high energy physics research. With this collider, it will be possible to accurately measure the Higgs coupling with other Standard Model particles, as well as the trilinear and quadrilinear Higgs self-coupling. By doing so, researchers hope to gain a more precise understanding of the Higgs potential and potentially discover evidence of new physics beyond the Standard Model. However, one of the primary challenges for this project is dealing with the high background radiation caused by decaying muons in the beam. To address this, an innovative hadronic calorimeter has been designed that utilizes Micro Pattern Gas Detectors (MPGDs) as active layers. MPGDs are ideal for high radiation environments and offer high granularity for precise spatial measurements. The calorimeter has been optimized for jet reconstruction and background suppression, and its design and layout have been simulated using the Geant4 toolkit to support detector R&D. This article details the design and optimization of the MPGD-based hadronic calorimeter.
{"title":"Simulation and Design of a MPGD-based hadronic calorimeter for experiments at Muon Colliders","authors":"R. Radogna, A. Stamerra, Caterina Aruta, A. Colaleo, L. Longo, A. Pellecchia, R. Venditti, P. Verwilligen, A. Zaza","doi":"10.1109/IWASI58316.2023.10164513","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164513","url":null,"abstract":"The proposal to create a Muon Collider with Multi-TeV energy levels presents an unprecedented opportunity for advancing high energy physics research. With this collider, it will be possible to accurately measure the Higgs coupling with other Standard Model particles, as well as the trilinear and quadrilinear Higgs self-coupling. By doing so, researchers hope to gain a more precise understanding of the Higgs potential and potentially discover evidence of new physics beyond the Standard Model. However, one of the primary challenges for this project is dealing with the high background radiation caused by decaying muons in the beam. To address this, an innovative hadronic calorimeter has been designed that utilizes Micro Pattern Gas Detectors (MPGDs) as active layers. MPGDs are ideal for high radiation environments and offer high granularity for precise spatial measurements. The calorimeter has been optimized for jet reconstruction and background suppression, and its design and layout have been simulated using the Geant4 toolkit to support detector R&D. This article details the design and optimization of the MPGD-based hadronic calorimeter.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"351 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123187321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-08DOI: 10.1109/IWASI58316.2023.10164530
Luigi Pugliese, Michele Guagnano, Sara Groppo, Massimo Violante, Riccardo Groppo
Obstructive Sleep Apnea Syndrome (OSAS) is a common sleep disorder characterized by repeated episodes of breathing cessation during sleep. It affects the quality of life and can lead to severe health complications. Continuous monitoring of Heart Rate Variability (HRV) and oxygen saturation (SpO2) can provide valuable insights into the presence and severity of sleep apnea. The algorithm herein proposed aims to identify the presence of OSAS and then to highly accurately differentiate (Severe, Moderate or Low) its severity level. The algorithm was evaluated on an online dataset; at the end of the algorithm assessment, a correlation coefficient of 98.65% was reached.
{"title":"Rule-based Sleep-Apnea detection algorithm","authors":"Luigi Pugliese, Michele Guagnano, Sara Groppo, Massimo Violante, Riccardo Groppo","doi":"10.1109/IWASI58316.2023.10164530","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164530","url":null,"abstract":"Obstructive Sleep Apnea Syndrome (OSAS) is a common sleep disorder characterized by repeated episodes of breathing cessation during sleep. It affects the quality of life and can lead to severe health complications. Continuous monitoring of Heart Rate Variability (HRV) and oxygen saturation (SpO2) can provide valuable insights into the presence and severity of sleep apnea. The algorithm herein proposed aims to identify the presence of OSAS and then to highly accurately differentiate (Severe, Moderate or Low) its severity level. The algorithm was evaluated on an online dataset; at the end of the algorithm assessment, a correlation coefficient of 98.65% was reached.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"708 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122989648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-08DOI: 10.1109/IWASI58316.2023.10164496
A. V. Radogna, E. Sciurti, L. Francioso, M. Signore, G. Grassi, C. Pascali, Stefano D’Amico
In this paper, a measurement system aimed to the fast classification of water contamination in oil samples will be presented. The transduction principle is based on the permittivity change of an interdigital capacitor which changes its capacitance value while immersed in oil samples with different water concentrations. Differently from other works, the presented system proposes a circuit and a measurement approach. It combines the broadband excitation property of MLS-based impulse response (IR) measurements with the support vector machine (SVM) machine-learning (ML) model. This approach allows to speed up the measurements, thus reducing the energy-per-measurement parameter in order to make the system suitable for battery-powered portable devices. The theoretical foundations, the circuit-level description of the analog front-end, and the used ML model will be presented in detail. The classification capability of the system will be proved by evaluating 40 IRs from 6 prepared oil samples at water concentrations of 0 vol%, 0.2 vol%, 0.5 vol%, 1 vol%, 2 vol%, and 3 vol%. The proposed system is able to measure a 1023-point IR in 700 ms, which is better than the state-of-the-art. Finally, an overall classification accuracy of 90% is obtained after the SVM training process with a 10 fold cross-validation.
{"title":"A Combined Measurement System for Fast Classification of Water Contamination in Lubricant Oil","authors":"A. V. Radogna, E. Sciurti, L. Francioso, M. Signore, G. Grassi, C. Pascali, Stefano D’Amico","doi":"10.1109/IWASI58316.2023.10164496","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164496","url":null,"abstract":"In this paper, a measurement system aimed to the fast classification of water contamination in oil samples will be presented. The transduction principle is based on the permittivity change of an interdigital capacitor which changes its capacitance value while immersed in oil samples with different water concentrations. Differently from other works, the presented system proposes a circuit and a measurement approach. It combines the broadband excitation property of MLS-based impulse response (IR) measurements with the support vector machine (SVM) machine-learning (ML) model. This approach allows to speed up the measurements, thus reducing the energy-per-measurement parameter in order to make the system suitable for battery-powered portable devices. The theoretical foundations, the circuit-level description of the analog front-end, and the used ML model will be presented in detail. The classification capability of the system will be proved by evaluating 40 IRs from 6 prepared oil samples at water concentrations of 0 vol%, 0.2 vol%, 0.5 vol%, 1 vol%, 2 vol%, and 3 vol%. The proposed system is able to measure a 1023-point IR in 700 ms, which is better than the state-of-the-art. Finally, an overall classification accuracy of 90% is obtained after the SVM training process with a 10 fold cross-validation.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"45 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124945262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-08DOI: 10.1109/iwasi58316.2023.10164388
{"title":"Session 9: Brain Computer Interfaces","authors":"","doi":"10.1109/iwasi58316.2023.10164388","DOIUrl":"https://doi.org/10.1109/iwasi58316.2023.10164388","url":null,"abstract":"","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131807809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-08DOI: 10.1109/IWASI58316.2023.10164373
Chiara Botrugno, E. Leogrande, Francesco Dell’Olio, Teresa Natale
Continuous vital signs monitoring is an important aid for preventing, diagnosing and timely treating different pathologies, especially in the field of cardiovascular and respiratory diseases. The aim of this work is to present a multiparameter tool for vital signs monitoring, starting from photoplethysmographic (PPG) and electrocardiographic (ECG) signal extraction and processing. In particular, a multi-wavelength photoplethysmographic sensor is used for the prediction of heart rate and the degree of blood hemoglobin oxygenation; with a simultaneous mining of the PPG signal with the ECG signal, it is also possible to determine the value of systolic pressure, by calculating the Pulse Transit Time (PTT), that is, the time interval between the R wave of the ECG signal and the subsequent systolic peak of the PPG signal. Such algorithms have been validated using reference instruments (sphygmomanometer and pulse oximeter): the performance is promising, with an average relative error of less than 5%. Results suggest that this innovative approach to vital signs monitoring can lead to the development of an electronic device that is simple to use, low cost and non-invasive.
{"title":"Smart combination of ECG and PPG signals: an innovative approach towards an electronic device for vital signs monitoring","authors":"Chiara Botrugno, E. Leogrande, Francesco Dell’Olio, Teresa Natale","doi":"10.1109/IWASI58316.2023.10164373","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164373","url":null,"abstract":"Continuous vital signs monitoring is an important aid for preventing, diagnosing and timely treating different pathologies, especially in the field of cardiovascular and respiratory diseases. The aim of this work is to present a multiparameter tool for vital signs monitoring, starting from photoplethysmographic (PPG) and electrocardiographic (ECG) signal extraction and processing. In particular, a multi-wavelength photoplethysmographic sensor is used for the prediction of heart rate and the degree of blood hemoglobin oxygenation; with a simultaneous mining of the PPG signal with the ECG signal, it is also possible to determine the value of systolic pressure, by calculating the Pulse Transit Time (PTT), that is, the time interval between the R wave of the ECG signal and the subsequent systolic peak of the PPG signal. Such algorithms have been validated using reference instruments (sphygmomanometer and pulse oximeter): the performance is promising, with an average relative error of less than 5%. Results suggest that this innovative approach to vital signs monitoring can lead to the development of an electronic device that is simple to use, low cost and non-invasive.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126699172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-08DOI: 10.1109/IWASI58316.2023.10164384
Timo Lausen, S. Keil, R. Thewes
The design of an 8 x 8 array in a 180 nm CMOS technology is presented for testing a new type of neural sensing amplifier. Post layout simulation results show an input refereed noise of 10.3 μVrms in the local field potential band from 1Hz to 300Hz and 19.8 μVrms in the action potential band from 300Hz to 10kHz. The required power per pixel is 165 nW or 50nA at 3.3 V. The bandwidth is 2kHz at a full frame rate of 10kHz.
{"title":"An Ultra Low Power Pixel for Implantable Neural Interfaces","authors":"Timo Lausen, S. Keil, R. Thewes","doi":"10.1109/IWASI58316.2023.10164384","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164384","url":null,"abstract":"The design of an 8 x 8 array in a 180 nm CMOS technology is presented for testing a new type of neural sensing amplifier. Post layout simulation results show an input refereed noise of 10.3 μVrms in the local field potential band from 1Hz to 300Hz and 19.8 μVrms in the action potential band from 300Hz to 10kHz. The required power per pixel is 165 nW or 50nA at 3.3 V. The bandwidth is 2kHz at a full frame rate of 10kHz.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115605461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-08DOI: 10.1109/IWASI58316.2023.10164476
T. Polonelli, Casimir Feldmann, Vlad Niculescu, H. Müller, M. Magno, L. Benini
The demand for autonomous nano-sized Unmanned Aerial Vehicles (UAVs) has risen due to their small size and agility, allowing for flight in cluttered indoor environments. However, their small size also significantly limits the payload as well as the battery size and computational resources. Especially the scarcity of memory poses a significant obstacle to generating high-resolution occupancy maps. This work presents an on-board 2-dimensional occupancy mapping system for centimeter-scale UAVs using a miniature 64-zone Time of Flight sensor. Experimental evaluations on the Crazyflie 2.1 nano-UAV have demonstrated that produced maps feature a resolution of 10 cm at mapping velocities up to 1.5 m/s, while covering an area of maximum 400 m2.
{"title":"Towards Robust and Efficient On-board Mapping for Autonomous Miniaturized UAVs","authors":"T. Polonelli, Casimir Feldmann, Vlad Niculescu, H. Müller, M. Magno, L. Benini","doi":"10.1109/IWASI58316.2023.10164476","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164476","url":null,"abstract":"The demand for autonomous nano-sized Unmanned Aerial Vehicles (UAVs) has risen due to their small size and agility, allowing for flight in cluttered indoor environments. However, their small size also significantly limits the payload as well as the battery size and computational resources. Especially the scarcity of memory poses a significant obstacle to generating high-resolution occupancy maps. This work presents an on-board 2-dimensional occupancy mapping system for centimeter-scale UAVs using a miniature 64-zone Time of Flight sensor. Experimental evaluations on the Crazyflie 2.1 nano-UAV have demonstrated that produced maps feature a resolution of 10 cm at mapping velocities up to 1.5 m/s, while covering an area of maximum 400 m2.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130986160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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