Autonomous cars: Research results, issues, and future challenges
R Hussain, S Zeadally - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Throughout the last century, the automobile industry achieved remarkable milestones in
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …
Exploration of issues, challenges and latest developments in autonomous cars
B Padmaja, CHV Moorthy, N Venkateswarulu… - Journal of Big Data, 2023 - Springer
Autonomous cars have achieved exceptional growth in the automotive industry in the last
century in terms of reliability, safety and affordability. Due to significant advancements in …
century in terms of reliability, safety and affordability. Due to significant advancements in …
[HTML][HTML] Autonomous Intelligent Vehicles (AIV): Research statements, open issues, challenges and road for future
AK Tyagi, SU Aswathy - International Journal of Intelligent Networks, 2021 - Elsevier
The vehicle business has accomplished extraordinary outcomes in creating dependable,
sheltered and reasonable vehicles throughout the only remaining century. Autonomous …
sheltered and reasonable vehicles throughout the only remaining century. Autonomous …
sEnDec: an improved image to image CNN for foreground localization
Although it is not immediately intuitive that Deep Convolutional Neural Networks (DCNNs)
can yield adequate feature representation for a Foreground Localization (FGL) task, recent …
can yield adequate feature representation for a Foreground Localization (FGL) task, recent …
Benchmark revision for HOG-SVM pedestrian detector through reinvigorated training and evaluation methodologies
Histogram of oriented gradient (HOG) features in combination with support vector machine
(SVM) classification are still widely reported as a de facto standard benchmark to evaluate …
(SVM) classification are still widely reported as a de facto standard benchmark to evaluate …
Low-dose CT image reconstruction using gain intervention-based dictionary learning
Computed tomography (CT) approach is extensively utilized in clinical diagnoses. However,
X-ray residue in human body may introduce somatic damage such as cancer. Owing to …
X-ray residue in human body may introduce somatic damage such as cancer. Owing to …
Performance evaluation of various desmogging techniques for single smoggy images
J Bala, K Lakhwani - Modern Physics Letters B, 2019 - World Scientific
The worsening air pollution is producing serious smog problems in the world. The high
concentration of aerosol, that attenuates the scene radiance and adds undesired scattering …
concentration of aerosol, that attenuates the scene radiance and adds undesired scattering …
Real-time pre-identification and cascaded detection for tiny faces
Although the face detection problem has been studied for decades, searching tiny faces in
the whole image is still a challenging task, especially in low-resolution images. Traditional …
the whole image is still a challenging task, especially in low-resolution images. Traditional …
Real‐time face recognition based on pre‐identification and multi‐scale classification
In face recognition, searching a person's face in the whole picture is generally too time‐
consuming to ensure high‐detection accuracy. Objects similar to the human face or multi …
consuming to ensure high‐detection accuracy. Objects similar to the human face or multi …
Visibility enhancement of color images using type-ii fuzzy membership function
Images taken in poor environmental conditions decrease the visibility and hidden
information of digital images. Therefore, image enhancement techniques are necessary for …
information of digital images. Therefore, image enhancement techniques are necessary for …