RGB-T image analysis technology and application: A survey
Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …
years. In the past decade, it has received wide attention and made a lot of important …
CGFNet: cross-guided fusion network for RGB-thermal semantic segmentation
Semantic segmentation is a basic task in computer vision, which is widely used in various
fields such as autonomous driving, detection, augmented reality and so on. Recent …
fields such as autonomous driving, detection, augmented reality and so on. Recent …
DBCNet: Dynamic bilateral cross-fusion network for RGB-T urban scene understanding in intelligent vehicles
Understanding urban scenes is a fundamental capability required of intelligent vehicles.
Depth cues provide useful geometric information for semantic segmentation, thus …
Depth cues provide useful geometric information for semantic segmentation, thus …
Global contextually guided lightweight network for RGB-thermal urban scene understanding
Recent achievements in scene understanding have benefited considerably from the rapid
development of convolutional neural networks. However, improvements of scene …
development of convolutional neural networks. However, improvements of scene …
EFASPP U-Net for semantic segmentation of night traffic scenes using fusion of visible and thermal images
F Shojaiee, Y Baleghi - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The development of self-driving cars increases driving safety and accelerates urban
transportation. These systems must have robust and real-time understanding of traffic …
transportation. These systems must have robust and real-time understanding of traffic …
URTSegNet: A real-time segmentation network of unstructured road at night based on thermal infrared images for autonomous robot system
X Liu, J Wang, J Li - Control Engineering Practice, 2023 - Elsevier
When it comes to poor lighting conditions such as night, backlight, haze, etc., the detection
method of unstructured roads based on visible light cameras often fails. Therefore, this …
method of unstructured roads based on visible light cameras often fails. Therefore, this …
RFIENet: RGB-thermal feature interactive enhancement network for semantic segmentation of insulator in backlight scenes
B Li, T Wang, Y Zhai, J Yuan - Measurement, 2022 - Elsevier
Segmentation of insulators from complex images is a critical step for automatic fault
inspection. However, it remains challenging in backlight scene parsing due to the visible …
inspection. However, it remains challenging in backlight scene parsing due to the visible …
HAFFseg: RGB-Thermal semantic segmentation network with hybrid adaptive feature fusion strategy
S Yi, M Chen, X Liu, JJ Li, L Chen - Signal Processing: Image …, 2023 - Elsevier
Abstract RGB-Thermal (RGB-T) semantic segmentation provides the pixel-level prediction of
surrounding environments for autonomous vehicles and mobile robots in harsh conditions …
surrounding environments for autonomous vehicles and mobile robots in harsh conditions …
Visible and thermal images fusion architecture for few-shot semantic segmentation
Few-shot semantic segmentation (FSS) has drawn great attention in the community of
computer vision, due to its remarkable potential for segmenting novel objects with few pixel …
computer vision, due to its remarkable potential for segmenting novel objects with few pixel …
Thermal infrared image semantic segmentation for night-time driving scenes based on deep learning
B Maheswari, SR Reeja - Multimedia Tools and Applications, 2023 - Springer
Semantic segmentation of thermal infrared (ThIR) images is challenging because the
images considered in this task are highly complex. The discrimination of image regions is …
images considered in this task are highly complex. The discrimination of image regions is …