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Sensors, Volume 23, Issue 19

October-1 2023 - 331 articles

Cover Story: Transportation is a vital part of our daily lives. Many eagerly anticipate the arrival of level 5 autonomous driving, where passengers can simply relax and enjoy the ride. While this once seemed like a distant dream, recent advancements in AI have shown that self-driving vehicles are becoming a reality. However, significant challenges remain. Sensor selection is still debated, and data acquisition still proves challenging. A lack of diverse and high-quality data can create weaknesses in AI models, potentially leading to accidents. To alleviate this problem, we present a GPU-accelerated simulator that generates high-quality, annotated data for time-of-flight sensors, such as LiDAR. The generated data allow the training of more robust AI models in traffic scenarios, bringing us one step closer to the dream of fully autonomous driving. View this paper
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Articles (331)

  • Article
  • Open Access
6 Citations
3,082 Views
15 Pages

Printed Eddy Current Testing Sensors: Toward Structural Health Monitoring Applications

  • Eliott Brun,
  • Pierre-Jean Cottinet,
  • Arnaud Pelletier and
  • Benjamin Ducharne

9 October 2023

Reliable measurements in structural health monitoring mean for the instrumentation to be set in perfect reproducible conditions. The solution described in this study consists of printing the sensors directly on the parts to be controlled. This method...

  • Article
  • Open Access
5 Citations
4,100 Views
21 Pages

Emergency Floor Plan Digitization Using Machine Learning

  • Mohab Hassaan,
  • Philip Alexander Ott,
  • Ann-Kristin Dugstad,
  • Miguel A. Vega Torres and
  • André Borrmann

9 October 2023

An increasing number of special-use and high-rise buildings have presented challenges for efficient evacuations, particularly in fire emergencies. At the same time, however, the use of autonomous vehicles within indoor environments has received only...

  • Review
  • Open Access
22 Citations
9,502 Views
43 Pages

9 October 2023

The analysis and recognition of sign languages are currently active fields of research focused on sign recognition. Various approaches differ in terms of analysis methods and the devices used for sign acquisition. Traditional methods rely on video an...

  • Article
  • Open Access
25 Citations
5,415 Views
19 Pages

Non-Invasive Blood Pressure Sensing via Machine Learning

  • Filippo Attivissimo,
  • Vito Ivano D’Alessandro,
  • Luisa De Palma,
  • Anna Maria Lucia Lanzolla and
  • Attilio Di Nisio

9 October 2023

In this paper, a machine learning (ML) approach to estimate blood pressure (BP) using photoplethysmography (PPG) is presented. The final aim of this paper was to develop ML methods for estimating blood pressure (BP) in a non-invasive way that is suit...

  • Article
  • Open Access
6 Citations
4,091 Views
20 Pages

3D Ultrasonic Brain Imaging with Deep Learning Based on Fully Convolutional Networks

  • Jiahao Ren,
  • Xiaocen Wang,
  • Chang Liu,
  • He Sun,
  • Junkai Tong,
  • Min Lin,
  • Jian Li,
  • Lin Liang,
  • Feng Yin and
  • Mengying Xie
  • + 1 author

9 October 2023

Compared to magnetic resonance imaging (MRI) and X-ray computed tomography (CT), ultrasound imaging is safer, faster, and more widely applicable. However, the use of conventional ultrasound in transcranial brain imaging for adults is predominantly hi...

  • Article
  • Open Access
3,576 Views
15 Pages

9 October 2023

There is a worldwide need to improve blood pressure (BP) measurement error in order to correctly diagnose hypertension. Cardiovascular diseases cause 17.9 million deaths annually and are a substantial monetary strain on healthcare. The current measur...

  • Article
  • Open Access
8 Citations
5,178 Views
17 Pages

Hybrid Approach to Colony-Forming Unit Counting Problem Using Multi-Loss U-Net Reformulation

  • Vilen Jumutc,
  • Artjoms Suponenkovs,
  • Andrey Bondarenko,
  • Dmitrijs Bļizņuks and
  • Alexey Lihachev

9 October 2023

Colony-Forming Unit (CFU) counting is a complex problem without a universal solution in biomedical and food safety domains. A multitude of sophisticated heuristics and segmentation-driven approaches have been proposed by researchers. However, U-Net r...

  • Article
  • Open Access
4 Citations
1,665 Views
17 Pages

MEMS-Switched Triangular and U-Shaped Band-Stop Resonators for K-Band Operation

  • Romolo Marcelli,
  • Giovanni Maria Sardi,
  • Emanuela Proietti,
  • Giovanni Capoccia,
  • Jacopo Iannacci,
  • Girolamo Tagliapietra and
  • Flavio Giacomozzi

9 October 2023

Triangular resonators re-shaped into Sierpinski geometry and U-shaped resonators were designed, linking them with single-pole-double-through (SPDT) RF MEMS switches to provide frequency tuning for potential applications in the K-Band. Prototypes of b...

  • Article
  • Open Access
2 Citations
3,492 Views
20 Pages

FGCN: Image-Fused Point Cloud Semantic Segmentation with Fusion Graph Convolutional Network

  • Kun Zhang,
  • Rui Chen,
  • Zidong Peng,
  • Yawei Zhu and
  • Xiaohong Wang

9 October 2023

In interpreting a scene for numerous applications, including autonomous driving and robotic navigation, semantic segmentation is crucial. Compared to single-modal data, multi-modal data allow us to extract a richer set of features, which is the benef...

  • Article
  • Open Access
2,248 Views
13 Pages

Cardiac Electromechanical Activity in Healthy Cats and Cats with Cardiomyopathies

  • Maja Brložnik,
  • Ema Lunka,
  • Viktor Avbelj,
  • Alenka Nemec Svete and
  • Aleksandra Domanjko Petrič

9 October 2023

Optimal heart function depends on perfect synchronization between electrical and mechanical activity. In this pilot study, we aimed to investigate the electromechanical activity of the heart in healthy cats and cats with cardiomyopathy with phonocard...

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Sensors - ISSN 1424-8220