A review of computer vision techniques for the analysis of urban traffic
N Buch, SA Velastin, J Orwell - IEEE Transactions on intelligent …, 2011 - ieeexplore.ieee.org
Automatic video analysis from urban surveillance cameras is a fast-emerging field based on
computer vision techniques. We present here a comprehensive review of the state-of-the-art …
computer vision techniques. We present here a comprehensive review of the state-of-the-art …
[HTML][HTML] Recent advances in image dehazing
W Wang, X Yuan - IEEE/CAA Journal of Automatica Sinica, 2017 - ieee-jas.net
Images captured in hazy or foggy weather conditions can be seriously degraded by
scattering of atmospheric particles, which reduces the contrast, changes the color, and …
scattering of atmospheric particles, which reduces the contrast, changes the color, and …
Vision enhancement in homogeneous and heterogeneous fog
One source of accidents when driving a vehicle is the presence of fog. Fog fades the colors
and reduces the contrasts in the scene with respect to their distances from the driver …
and reduces the contrasts in the scene with respect to their distances from the driver …
Improved visibility of road scene images under heterogeneous fog
One source of accidents when driving a vehicle is the presence of homogeneous and
heterogeneous fog. Fog fades the colors and reduces the contrast of the observed objects …
heterogeneous fog. Fog fades the colors and reduces the contrast of the observed objects …
A novel multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques
The increasing demand for image dehazing-based applications has raised the value of
efficient evaluation and benchmarking for image dehazing algorithms. Several perspectives …
efficient evaluation and benchmarking for image dehazing algorithms. Several perspectives …
A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria …
Given the rapid development of dehazing image algorithms, selecting the optimal algorithm
based on multiple criteria is crucial in determining the efficiency of an algorithm. However, a …
based on multiple criteria is crucial in determining the efficiency of an algorithm. However, a …
An environmental-based perspective framework: integrating IoT technology into a sustainable automotive supply chain
Purpose Over the next decade, humanity is going to face big environmental problems, and
considering these serious issues, businesses are adopting environmentally responsible …
considering these serious issues, businesses are adopting environmentally responsible …
Multi-attention DenseNet: A scattering medium imaging optimization framework for visual data pre-processing of autonomous driving systems
P Liu, C Zhang, H Qi, G Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The vision system is important for almost all kinds of autonomous driving systems. However,
visual data interfered by scattering media, such as smoke, haze, water, and other non …
visual data interfered by scattering media, such as smoke, haze, water, and other non …
Exponential contrast restoration in fog conditions for driving assistance
The images captured in fog conditions have degraded contrast, which makes current image
processing applications sensitive and error prone. We propose in this paper an efficient …
processing applications sensitive and error prone. We propose in this paper an efficient …
Recent advances in image dehazing: Formal analysis to automated approaches
Images captured in hazy environments need to be processed to increase their contrast and
colour integrity. Dehazing, sometimes referred to as haze removal is an important pre …
colour integrity. Dehazing, sometimes referred to as haze removal is an important pre …