Thermal infrared imaging-based affective computing and its application to facilitate human robot interaction: A review
Over recent years, robots are increasingly being employed in several aspects of modern
society. Among others, social robots have the potential to benefit education, healthcare, and …
society. Among others, social robots have the potential to benefit education, healthcare, and …
[PDF][PDF] Resilient and modular subterranean exploration with a team of roving and flying robots
Subterranean robot exploration is difficult, with many mobility, communications, and
navigation challenges that require an approach with a diverse set of systems, and reliable …
navigation challenges that require an approach with a diverse set of systems, and reliable …
On the role of thermal imaging in automotive applications: A critical review
For decades, the number of automobiles in urban areas around the world has been
increasing. It causes serious challenges such as traffic congestion, accidents, and pollution …
increasing. It causes serious challenges such as traffic congestion, accidents, and pollution …
Sstn: Self-supervised domain adaptation thermal object detection for autonomous driving
The perception of the environment plays a decisive role in the safe and secure operation of
autonomous vehicles. The perception of the surrounding is way similar to human vision. The …
autonomous vehicles. The perception of the surrounding is way similar to human vision. The …
Assessing thermal imagery integration into object detection methods on air-based collection platforms
JE Gallagher, EJ Oughton - Scientific Reports, 2023 - nature.com
Object detection models commonly focus on utilizing the visible spectrum via Red–Green–
Blue (RGB) imagery. Due to various limitations with this approach in low visibility settings …
Blue (RGB) imagery. Due to various limitations with this approach in low visibility settings …
[HTML][HTML] Analysis of thermal imaging performance under extreme foggy conditions: Applications to autonomous driving
JMR Velázquez, L Khoudour, G Saint Pierre… - journal of …, 2022 - ncbi.nlm.nih.gov
Object detection is recognized as one of the most critical research areas for the perception of
self-driving cars. Current vision systems combine visible imaging, LIDAR, and/or RADAR …
self-driving cars. Current vision systems combine visible imaging, LIDAR, and/or RADAR …
Exploring thermal images for object detection in underexposure regions for autonomous driving
Underexposure regions are vital in constructing a complete perception of the surrounding
environment for safe autonomous driving. The availability of thermal cameras has provided …
environment for safe autonomous driving. The availability of thermal cameras has provided …
Lightweight thermal super-resolution and object detection for robust perception in adverse weather conditions
P Shyam, HJ Yoo - Proceedings of the IEEE/CVF Winter …, 2024 - openaccess.thecvf.com
In this work, we examine the potential application of thermal cameras in improving
perception capabilities in adverse weather conditions like snow, night-time driving, and …
perception capabilities in adverse weather conditions like snow, night-time driving, and …
A Multispectral Automated Transfer Technique (MATT) for machine-driven image labeling utilizing the Segment Anything Model (SAM)
JE Gallagher, A Gogia, EJ Oughton - arXiv preprint arXiv:2402.11413, 2024 - arxiv.org
Segment Anything Model (SAM) is drastically accelerating the speed and accuracy of
automatically segmenting and labeling large Red-Green-Blue (RGB) imagery datasets …
automatically segmenting and labeling large Red-Green-Blue (RGB) imagery datasets …
Noncontact sensing of contagion
The World Health Organization (WHO) has declared COVID-19 a pandemic. We review and
reduce the clinical literature on diagnosis of COVID-19 through symptoms that might be …
reduce the clinical literature on diagnosis of COVID-19 through symptoms that might be …