Pub Date : 2023-06-08DOI: 10.1109/IWASI58316.2023.10164328
F. Paissan, Anisha Mohamed Sahabdeen, Alberto Ancilotto, Elisabetta Farella
Keyword Spotting (KWS) is handy in many innovative ambient intelligence applications, such as smart cities and home automation. While solving KWS on GP/GPUs has become a trivial task in recent years, many benefits arise when KWS applications run at the edge (e.g., privacy by design and infrastructure sustainability), where resources are limited. Hardware-aware scaling (HAS) is a novel paradigm that brings neural architectures to low-resource platforms. With HAS, it is possible to optimize neural architectures to fit on embedded platforms (e.g., microcontrollers) while maximizing the performance-complexity tradeoff and the performance-latency tradeoff. This paper shows how HAS, coupled with a neural network with appropriate scaling capabilities, can outperform architectures designed with neural architecture search techniques, such as MCUNet. Our method achieves 94.5% accuracy when classifying the 35 keywords in Google Speech Commands v2, with only 70 ms of latency and overall power consumption of less than 10 mJ.
{"title":"Improving latency performance trade-off in keyword spotting applications at the edge","authors":"F. Paissan, Anisha Mohamed Sahabdeen, Alberto Ancilotto, Elisabetta Farella","doi":"10.1109/IWASI58316.2023.10164328","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164328","url":null,"abstract":"Keyword Spotting (KWS) is handy in many innovative ambient intelligence applications, such as smart cities and home automation. While solving KWS on GP/GPUs has become a trivial task in recent years, many benefits arise when KWS applications run at the edge (e.g., privacy by design and infrastructure sustainability), where resources are limited. Hardware-aware scaling (HAS) is a novel paradigm that brings neural architectures to low-resource platforms. With HAS, it is possible to optimize neural architectures to fit on embedded platforms (e.g., microcontrollers) while maximizing the performance-complexity tradeoff and the performance-latency tradeoff. This paper shows how HAS, coupled with a neural network with appropriate scaling capabilities, can outperform architectures designed with neural architecture search techniques, such as MCUNet. Our method achieves 94.5% accuracy when classifying the 35 keywords in Google Speech Commands v2, with only 70 ms of latency and overall power consumption of less than 10 mJ.","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":"130428763","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/IWASI58316.2023.10164511
G. Mezzina, Alberto Fakhri Brunetti, C. L. Saragaglia, G. Matarrese, D. Venuto
Power hungry electronic components such as CPU, GPUs as well as voltage regulators heat up during operation. Several sensing applications require ambient air temperature and humidity measurements. Nevertheless, ambient air temperature and humidity measures with a surface mounting technology devices is challenging due to the thermal influence of nearby components. In this context, thermal design of Printed Circuit Boards (PCB) becomes a critical step to ensure the reliability of electronic systems and to preserve those components that are vulnerable to heat-accelerated failure mechanisms. Although PCB thermal analysis increasingly relies on software embedding complex but accurate fluid dynamics or finite elements solvers, simulation times during the design phase result very long and are not suitable for rapid prototyping processes. To bridge this gap, this paper proposes an automatic tool for the rapid simulation of heat transfer pathways inside a PCB when quad-flat no-lead (QFN) packages are employed. The proposed tool exploits a resistive networks-based model able to adapt to the metal/dielectric/soldermask composition of the analyzed area. It is made possible by integrating image processing algorithms to identify thermal connections between the analyzed elements, allowing a multi-layer reconstruction even with irregularly shaped metal areas. The proposed tool has been tested on a PCB and the results compared with the ones from professional software for FEM thermal analysis. The proposed modeling system can ensure optimal accuracy on the chip area (error compared to $mathrm{F E M}lt 1^{circ} mathrm{C}$), and within areas of 9 $mathrm{cm}^{2}$, resulting $sim 91$ times faster than the equivalent FEM in estimating heating trend on the same board.
{"title":"Automatic tool for real-time estimation of QFN-related heat transfer in multi-layer PCB by using SPICE simulations","authors":"G. Mezzina, Alberto Fakhri Brunetti, C. L. Saragaglia, G. Matarrese, D. Venuto","doi":"10.1109/IWASI58316.2023.10164511","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164511","url":null,"abstract":"Power hungry electronic components such as CPU, GPUs as well as voltage regulators heat up during operation. Several sensing applications require ambient air temperature and humidity measurements. Nevertheless, ambient air temperature and humidity measures with a surface mounting technology devices is challenging due to the thermal influence of nearby components. In this context, thermal design of Printed Circuit Boards (PCB) becomes a critical step to ensure the reliability of electronic systems and to preserve those components that are vulnerable to heat-accelerated failure mechanisms. Although PCB thermal analysis increasingly relies on software embedding complex but accurate fluid dynamics or finite elements solvers, simulation times during the design phase result very long and are not suitable for rapid prototyping processes. To bridge this gap, this paper proposes an automatic tool for the rapid simulation of heat transfer pathways inside a PCB when quad-flat no-lead (QFN) packages are employed. The proposed tool exploits a resistive networks-based model able to adapt to the metal/dielectric/soldermask composition of the analyzed area. It is made possible by integrating image processing algorithms to identify thermal connections between the analyzed elements, allowing a multi-layer reconstruction even with irregularly shaped metal areas. The proposed tool has been tested on a PCB and the results compared with the ones from professional software for FEM thermal analysis. The proposed modeling system can ensure optimal accuracy on the chip area (error compared to $mathrm{F E M}lt 1^{circ} mathrm{C}$), and within areas of 9 $mathrm{cm}^{2}$, resulting $sim 91$ times faster than the equivalent FEM in estimating heating trend on the same board.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"279 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":"132797851","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/iwasi58316.2023.10164291
{"title":"Session 8: Edge computing and neural networks","authors":"","doi":"10.1109/iwasi58316.2023.10164291","DOIUrl":"https://doi.org/10.1109/iwasi58316.2023.10164291","url":null,"abstract":"","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"31 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":"127690511","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/IWASI58316.2023.10164375
Philipp Mayer, Rabea Rogge, A. Caviezel, J. Munch, A. Ringenbach, M. Magno, L. Benini
Climate change accelerates the thaw of permafrost and amplifies precipitation and temperature variations. As a result, rockfalls and landslides might become increasingly severe and frequent hazards in mountainous regions. Simulation tools allow the assessment of the increased risks and the planning of adequate mitigation strategies, but they need to be trained and calibrated on real-world data. This paper presents the design of a tailor-made data logger addressing the sensing requirements in induced rockfall experiments. The robust design aims at data collection at up to 1 kHz and allows the trajectory reconstruction based on the output data of various micromechanical systems sensors (accelerometer, gyroscope, magnetometer, barometer). Its integrated LoRaWAN-based wireless interface ensures user-friendly configuration and provides real-time sensor telemetry at up to 980 bit/s.
{"title":"Design and Evaluation of a LoRa Controlled Rugged Multisensor Unit for Induced Rockfall Experiments","authors":"Philipp Mayer, Rabea Rogge, A. Caviezel, J. Munch, A. Ringenbach, M. Magno, L. Benini","doi":"10.1109/IWASI58316.2023.10164375","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164375","url":null,"abstract":"Climate change accelerates the thaw of permafrost and amplifies precipitation and temperature variations. As a result, rockfalls and landslides might become increasingly severe and frequent hazards in mountainous regions. Simulation tools allow the assessment of the increased risks and the planning of adequate mitigation strategies, but they need to be trained and calibrated on real-world data. This paper presents the design of a tailor-made data logger addressing the sensing requirements in induced rockfall experiments. The robust design aims at data collection at up to 1 kHz and allows the trajectory reconstruction based on the output data of various micromechanical systems sensors (accelerometer, gyroscope, magnetometer, barometer). Its integrated LoRaWAN-based wireless interface ensures user-friendly configuration and provides real-time sensor telemetry at up to 980 bit/s.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"146 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":"122610066","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/IWASI58316.2023.10164426
Lukas Schulthess, Tiago Salzmann, Christian Vogt, M. Magno
Nowadays, cities provide much more than shopping opportunities or working spaces. Individual locations such as parks and squares are used as meeting points and local recreation areas by many people. To ensure that they remain attractive in the future, the design of such squares must be regularly adapted to the needs of the public. These utilization trends can be derived using public data collection. The more diverse and rich the data sets are, the easier it is to optimize public space design through data analysis. Traditional data collection methods such as questionnaires, observations, or videos are either labor intensive or cannot guarantee to preserve the individual’s privacy.This work presents a privacy-preserving, low-power, and low-cost smart sensing system that is capable of anonymously collecting data about public space utilization by analyzing the occupancy distribution of public seating. To support future urban planning the sensor nodes are capable of monitoring environmental noise, chair utilization, and their position, temperature, and humidity and provide them over a city-wide Long Range Wide Area Network (LoRaWAN). The final sensing system’s robust operation is proven in a trial run at two public squares in a city with 16 sensor nodes over a duration of two months. By consuming 33.65 mWh per day with all subsystems enabled, including sitting detection based on a continuous acceleration measurement operating on a robust and simple threshold algorithm, the custom-designed sensor node achieves continuous monitoring during the 2-month trial run. The evaluation of the experimental results clearly shows how the two locations are used, which confirms the practicability of the proposed solution. All data collected during the field trial is publicly available as open data.
{"title":"A LoRa-based Energy-efficient Sensing System for Urban Data Collection","authors":"Lukas Schulthess, Tiago Salzmann, Christian Vogt, M. Magno","doi":"10.1109/IWASI58316.2023.10164426","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164426","url":null,"abstract":"Nowadays, cities provide much more than shopping opportunities or working spaces. Individual locations such as parks and squares are used as meeting points and local recreation areas by many people. To ensure that they remain attractive in the future, the design of such squares must be regularly adapted to the needs of the public. These utilization trends can be derived using public data collection. The more diverse and rich the data sets are, the easier it is to optimize public space design through data analysis. Traditional data collection methods such as questionnaires, observations, or videos are either labor intensive or cannot guarantee to preserve the individual’s privacy.This work presents a privacy-preserving, low-power, and low-cost smart sensing system that is capable of anonymously collecting data about public space utilization by analyzing the occupancy distribution of public seating. To support future urban planning the sensor nodes are capable of monitoring environmental noise, chair utilization, and their position, temperature, and humidity and provide them over a city-wide Long Range Wide Area Network (LoRaWAN). The final sensing system’s robust operation is proven in a trial run at two public squares in a city with 16 sensor nodes over a duration of two months. By consuming 33.65 mWh per day with all subsystems enabled, including sitting detection based on a continuous acceleration measurement operating on a robust and simple threshold algorithm, the custom-designed sensor node achieves continuous monitoring during the 2-month trial run. The evaluation of the experimental results clearly shows how the two locations are used, which confirms the practicability of the proposed solution. All data collected during the field trial is publicly available as open data.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"54 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":"123328860","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/IWASI58316.2023.10164450
Davide Cassanelli, G. Gibertoni, M. Ferrazza, F. Tramarin, L. Tanga, L. Quaranta, F. Oddone, L. Rovati
Screening activity is essential for the prevention of diseases such as glaucoma. Concerning primary angle closure glaucoma, the anterior chamber angle can be monitored to evaluate the disease’s progress. Van Herick technique is a non-invasive qualitative approach for estimating the angle aperture. In our previous papers, we presented an automatic instrument able to perform the Van Herick procedure and an Artificial Intelligence approach for estimating the angle aperture. In this work, we propose a deterministic and quantitative vision-based algorithm for the evaluation of the Anterior Chamber Angle aperture. The proposed algorithm allows the estimation of the Van Herick grade from 1 to 4 by computing the ratio value between the Anterior Chamber Depth and the Corneal Thickness. The algorithm is evaluated on an image dataset acquired from patients and classified by expert ophthalmologists. The results show an agreement between clinical classification and the algorithm estimation higher than 65 %, which reaches 100 % for grades 4. Moreover, the algorithm provides the numeric value of the ratio between Anterior Chamber Depth and Corneal Thickness, which can be used as new quantitative information about the angle closure.
{"title":"Image analysis algorithm for the Anterior Chamber Angle Closure estimation and Van Herick classification","authors":"Davide Cassanelli, G. Gibertoni, M. Ferrazza, F. Tramarin, L. Tanga, L. Quaranta, F. Oddone, L. Rovati","doi":"10.1109/IWASI58316.2023.10164450","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164450","url":null,"abstract":"Screening activity is essential for the prevention of diseases such as glaucoma. Concerning primary angle closure glaucoma, the anterior chamber angle can be monitored to evaluate the disease’s progress. Van Herick technique is a non-invasive qualitative approach for estimating the angle aperture. In our previous papers, we presented an automatic instrument able to perform the Van Herick procedure and an Artificial Intelligence approach for estimating the angle aperture. In this work, we propose a deterministic and quantitative vision-based algorithm for the evaluation of the Anterior Chamber Angle aperture. The proposed algorithm allows the estimation of the Van Herick grade from 1 to 4 by computing the ratio value between the Anterior Chamber Depth and the Corneal Thickness. The algorithm is evaluated on an image dataset acquired from patients and classified by expert ophthalmologists. The results show an agreement between clinical classification and the algorithm estimation higher than 65 %, which reaches 100 % for grades 4. Moreover, the algorithm provides the numeric value of the ratio between Anterior Chamber Depth and Corneal Thickness, which can be used as new quantitative information about the angle closure.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"69 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":"131494918","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/IWASI58316.2023.10164547
Niklas P. Boldt, Malte Schmidt, R. Thewes
A fully differential all-pass filter is designed in 250 nm BiCMOS technology with an over three decades tunable corner frequency from 50 kHz to 50 MHz. The filter provides a coarse tuning section by switching a capacitive network. Fine tuning is realized by adjusting the bias current of two operational transconductance amplifiers (OTAs) in the signal path. The overall SNDR is between 44 dB to 58 dB depending on the operational mode. Power consumption does not exceed 11.68 mW.
{"title":"A Fully Differential All-pass Filter in 250nm BiCMOS Technology for Phase Shift Regulation in Dielectrophoresis Applications","authors":"Niklas P. Boldt, Malte Schmidt, R. Thewes","doi":"10.1109/IWASI58316.2023.10164547","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164547","url":null,"abstract":"A fully differential all-pass filter is designed in 250 nm BiCMOS technology with an over three decades tunable corner frequency from 50 kHz to 50 MHz. The filter provides a coarse tuning section by switching a capacitive network. Fine tuning is realized by adjusting the bias current of two operational transconductance amplifiers (OTAs) in the signal path. The overall SNDR is between 44 dB to 58 dB depending on the operational mode. Power consumption does not exceed 11.68 mW.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"11 7 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":"123693215","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/IWASI58316.2023.10164484
D. Cumming, V. Pusino
Mid-wave infrared sensing and imaging is of growing importance for the detection of environmental greenhouse gases such as CO2 and CH4. The ability to survey large infrastructure in addition to making single point measurements will bring many advantages to industrial asset management in particular. Existing technology for MWIR imaging relies on costly flip chipped technology and cryogenic cooling. We have investigated a monolithic integrated technology that can be made in a traditional planar process and operates at room temperature. By growing III-V wafers with a GaAs transistor layer and an InSb photodetection layer we are able to eliminate the need for a two-chip solution and the complex fabrication steps traditionally required. We present the method for making monolithic sensors and preliminary results demonstrating the imaging and gas sensing capabilities of the new technology.
{"title":"Addressable Monolithic InSb on GaAs Focal Plane Arrays for MWIR Imaging","authors":"D. Cumming, V. Pusino","doi":"10.1109/IWASI58316.2023.10164484","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164484","url":null,"abstract":"Mid-wave infrared sensing and imaging is of growing importance for the detection of environmental greenhouse gases such as CO2 and CH4. The ability to survey large infrastructure in addition to making single point measurements will bring many advantages to industrial asset management in particular. Existing technology for MWIR imaging relies on costly flip chipped technology and cryogenic cooling. We have investigated a monolithic integrated technology that can be made in a traditional planar process and operates at room temperature. By growing III-V wafers with a GaAs transistor layer and an InSb photodetection layer we are able to eliminate the need for a two-chip solution and the complex fabrication steps traditionally required. We present the method for making monolithic sensors and preliminary results demonstrating the imaging and gas sensing capabilities of the new technology.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"13 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":"123717474","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/IWASI58316.2023.10164563
E. Leoni, Anas Osman, A. Steccanella, Pierpaolo Gonnella, Marco Darin, A. Murphy, Elisabetta Farella
Vehicle-to-Everything (V2X) expands the capabilities of vehicles with innovative applications. Localization plays a crucial role in V2X, with measurement accuracy as a fundamental property. Demonstrating this accuracy, however, is not straightforward, especially in indoor environments. Indeed, the inability to use global navigation satellite systems (e.g., GPS) indoor requires exploring alternate technologies. In this work, we present a reliable and accurate validation methodology to demonstrate the performance of V2X localization. An Ultra-Wide Band (UWB) localization technology is at the core of our validation infrastructure. Built around this is a complete system that supports data collection from multiple localization systems, ensures time synchronization across data samples, and provides a comprehensive analysis pipeline. We demonstrate this validation system in both outdoor and indoor environments. Our approach overcomes the challenges of indoor vehicular localization and provides a reliable and accurate way to evaluate the performance of V2X localization systems.
{"title":"Validating Vehicular Localization Indoor using UWB: Challenges and Solutions","authors":"E. Leoni, Anas Osman, A. Steccanella, Pierpaolo Gonnella, Marco Darin, A. Murphy, Elisabetta Farella","doi":"10.1109/IWASI58316.2023.10164563","DOIUrl":"https://doi.org/10.1109/IWASI58316.2023.10164563","url":null,"abstract":"Vehicle-to-Everything (V2X) expands the capabilities of vehicles with innovative applications. Localization plays a crucial role in V2X, with measurement accuracy as a fundamental property. Demonstrating this accuracy, however, is not straightforward, especially in indoor environments. Indeed, the inability to use global navigation satellite systems (e.g., GPS) indoor requires exploring alternate technologies. In this work, we present a reliable and accurate validation methodology to demonstrate the performance of V2X localization. An Ultra-Wide Band (UWB) localization technology is at the core of our validation infrastructure. Built around this is a complete system that supports data collection from multiple localization systems, ensures time synchronization across data samples, and provides a comprehensive analysis pipeline. We demonstrate this validation system in both outdoor and indoor environments. Our approach overcomes the challenges of indoor vehicular localization and provides a reliable and accurate way to evaluate the performance of V2X localization systems.","PeriodicalId":261827,"journal":{"name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"13 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":"125010341","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/iwasi58316.2023.10164314
{"title":"Session 5: Sensors interfaces and sensor networks","authors":"","doi":"10.1109/iwasi58316.2023.10164314","DOIUrl":"https://doi.org/10.1109/iwasi58316.2023.10164314","url":null,"abstract":"","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":"129131264","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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