[HTML][HTML] Stereo matching algorithm based on deep learning: A survey
The development of stereo matching algorithm is still one of the challenging problems,
especially in ill-posed regions. Hence, this article presents a survey on the algorithm …
especially in ill-posed regions. Hence, this article presents a survey on the algorithm …
Performance and challenges of 3D object detection methods in complex scenes for autonomous driving
How to ensure robust and accurate 3D object detection under various environment is
essential for autonomous driving (AD) environment perception. While, until now, most of the …
essential for autonomous driving (AD) environment perception. While, until now, most of the …
Visual analysis of machine learning methods in the field of ergonomics—Based on Cite Space V
M Zhang, H Li, S Tian - International Journal of Industrial Ergonomics, 2023 - Elsevier
To analyze the research hotspots on the application of machine learning methods in the field
of ergonomics, we collected 1141 articles related to machine learning methods in the field of …
of ergonomics, we collected 1141 articles related to machine learning methods in the field of …
Vehicle detection and tracking in adverse weather using a deep learning framework
M Hassaballah, MA Kenk… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Vehicle detection and tracking play an important role in autonomous vehicles and intelligent
transportation systems. Adverse weather conditions such as the presence of heavy snow …
transportation systems. Adverse weather conditions such as the presence of heavy snow …
Pyramid channel-based feature attention network for image dehazing
Traditional deep learning-based image dehazing methods usually use the high-level
features (which contain more semantic information) to remove haze in the input image, while …
features (which contain more semantic information) to remove haze in the input image, while …
DAWN: vehicle detection in adverse weather nature dataset
MA Kenk, M Hassaballah - arxiv preprint arxiv:2008.05402, 2020 - arxiv.org
Recently, self-driving vehicles have been introduced with several automated features
including lane-keep assistance, queuing assistance in traffic-jam, parking assistance and …
including lane-keep assistance, queuing assistance in traffic-jam, parking assistance and …
Trends and prospects of techniques for haze removal from degraded images: A survey
For the last two decades, image processing techniques have been used frequently in
computer vision applications. The most challenging task in image processing is restoring …
computer vision applications. The most challenging task in image processing is restoring …
Enhancing low-light images via dehazing principles: Essence and method
F Li, C Wang, X Li - Pattern Recognition Letters, 2024 - Elsevier
Given the visual resemblance between inverted low-light and hazy images, dehazing
principles are borrowed to enhance low-light images. However, the essence of such …
principles are borrowed to enhance low-light images. However, the essence of such …
ABF de-hazing algorithm based on deep learning CNN for single I-Haze detection
GH Babu, N Venkatram - Advances in engineering software, 2023 - Elsevier
Haze is a kind of natural event which is formed by smoke, dust, or other dry particles. It acts
as an overshot-on scene and degrades the visibility of environments and damages the …
as an overshot-on scene and degrades the visibility of environments and damages the …
Polarimetric dehazing based on fusing intensity and degree of polarization
Image dehazing is an indispensable approach to address the image degeneration in hazy
environment. In recent years, polarimetric methods have been widely investigated for image …
environment. In recent years, polarimetric methods have been widely investigated for image …