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Soft wearable devices for deep-tissue sensing
Wearable devices with skin-like mechanical properties enable continuous monitoring of the
human body. However, wearable device design has mainly focused on recording superficial …
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
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 …
environment and to make logical decisions based on the gathered information similar to …
Heat-assisted detection and ranging
Abstract Machine perception uses advanced sensors to collect information about the
surrounding scene for situational awareness,,,,,–. State-of-the-art machine perception using …
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 …
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
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 …
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
Semantic segmentation is a fundamental capability for autonomous vehicles. With the
advancements of deep learning technologies, many effective semantic segmentation …
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 …
(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 …
in precision agriculture (PA). In that context, thermal RS has many potential uses. The …
RGB-T object tracking: Benchmark and baseline
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 …
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
To maintain the reliability, availability, and sustainability of electricity supply, electricity
companies regularly perform visual inspections on their transmission and distribution …
companies regularly perform visual inspections on their transmission and distribution …