Soft wearable devices for deep-tissue sensing

M Lin, H Hu, S Zhou, S Xu - Nature Reviews Materials, 2022 - nature.com
Wearable devices with skin-like mechanical properties enable continuous monitoring of the
human body. However, wearable device design has mainly focused on recording superficial …

[HTML][HTML] An overview of autonomous vehicles sensors and their vulnerability to weather conditions

J Vargas, S Alsweiss, O Toker, R Razdan, J Santos - Sensors, 2021 - mdpi.com
Autonomous vehicles (AVs) rely on various types of sensor technologies to perceive the
environment and to make logical decisions based on the gathered information similar to …

Heat-assisted detection and ranging

F Bao, X Wang, SH Sureshbabu, G Sreekumar, L Yang… - Nature, 2023 - nature.com
Abstract Machine perception uses advanced sensors to collect information about the
surrounding scene for situational awareness,,,,,–. State-of-the-art machine perception using …

Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing

T Herzog, M Brandt, A Trinchi, A Sola… - Journal of Intelligent …, 2024 - Springer
Over the past several decades, metal Additive Manufacturing (AM) has transitioned from a
rapid prototy** method to a viable manufacturing tool. AM technologies can produce parts …

A systematic review of perception system and simulators for autonomous vehicles research

F Rosique, PJ Navarro, C Fernández, A Padilla - Sensors, 2019 - mdpi.com
This paper presents a systematic review of the perception systems and simulators for
autonomous vehicles (AV). This work has been divided into three parts. In the first part …

RTFNet: RGB-thermal fusion network for semantic segmentation of urban scenes

Y Sun, W Zuo, M Liu - IEEE Robotics and Automation Letters, 2019 - ieeexplore.ieee.org
Semantic segmentation is a fundamental capability for autonomous vehicles. With the
advancements of deep learning technologies, many effective semantic segmentation …

[HTML][HTML] A survey of object detection for UAVs based on deep learning

G Tang, J Ni, Y Zhao, Y Gu, W Cao - Remote Sensing, 2023 - mdpi.com
With the rapid development of object detection technology for unmanned aerial vehicles
(UAVs), it is convenient to collect data from UAV aerial photographs. They have a wide …

Applications of UAV thermal imagery in precision agriculture: State of the art and future research outlook

G Messina, G Modica - Remote Sensing, 2020 - mdpi.com
Low-altitude remote sensing (RS) using unmanned aerial vehicles (UAVs) is a powerful tool
in precision agriculture (PA). In that context, thermal RS has many potential uses. The …

RGB-T object tracking: Benchmark and baseline

C Li, X Liang, Y Lu, N Zhao, J Tang - Pattern Recognition, 2019 - Elsevier
Abstract RGB-Thermal (RGB-T) object tracking receives more and more attention due to the
strongly complementary benefits of thermal information to visible data. However, RGB-T …

Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning

R Jenssen, D Roverso - International Journal of Electrical Power & …, 2018 - Elsevier
To maintain the reliability, availability, and sustainability of electricity supply, electricity
companies regularly perform visual inspections on their transmission and distribution …