A Bayesian framework for integrated deep metric learning and tracking of vulnerable road users using automotive radars

A Dubey, A Santra, J Fuchs, M Lübke, R Weigel… - IEEE …, 2021 - ieeexplore.ieee.org
With the recent advancements in radar systems, radar sensors offer a promising and
effective perception of the surrounding. This includes target detection, classification and …

[HTML][HTML] HARadNet: Anchor-free target detection for radar point clouds using hierarchical attention and multi-task learning

A Dubey, A Santra, J Fuchs, M Lübke, R Weigel… - Machine Learning with …, 2022 - Elsevier
Target localization and classification from radar point clouds is a challenging task due to the
inherently sparse nature of the data with highly non-uniform target distribution. This work …

Region based single-stage interference mitigation and target detection

A Dubey, J Fuchs, V Madhavan… - 2020 IEEE Radar …, 2020 - ieeexplore.ieee.org
The inherent smaller radar cross sections of vulnerable road users resulting in smaller
signal-to-noise-ratios make an accurate detection of them somewhat challenging. Mutual …

FabricGAN: an enhanced generative adversarial network for data augmentation and improved fabric defect detection

Y Xu, C Zhi, S Wang, J Chen, R Sun… - Textile Research …, 2024 - journals.sagepub.com
When deep learning is applied to intelligent textile defect detection, the insufficient training
data may result in low accuracy and poor adaptability of varying defect types of the trained …

Exploring the Role of Generative Adversarial Networks (GANs) in Image Translation using Load Balancer Interface Application

TA Mohanaprakash, M Nagalingam… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Generative Adversarial Networks (GANs) play a crucial role in the dynamic fields of artificial
intelligence and computer vision, notably impacting image-to-image translation. This study …

A Comparison of the Finest Electrical Energy Forecast Models

F Rania, F Brahim, K Zineddine… - … Conference on Decision …, 2023 - ieeexplore.ieee.org
Predicting today's utilization of energy will determine how powerful it is in the future.
Generators can change their output by foreseeing the demand for electricity. As a result …

Multiple target extraction and identification for automotive radar with AI

C Decourt - 2023 - theses.hal.science
In recent years, connected vehicles have paved the way for safer and more automated
transportation systems. These vehicles rely heavily on Advanced Driving Assistance …

[PDF][PDF] Bayesian Architecture and Learning Algorithms for Recognition of Vulnerable Road Users using Automotive Radar

A Dubey - 2022 - opus4.kobv.de
Both pedestrians and cyclists as vulnerable road users (VRUs) always exhibit agile and
complex behaviors whose safety protection has attracted the highest priority concerns in the …

Data Imputation Using Artificial Neural Network for a Reservoir System

CR Shrinivas, R Bhatia, S Wadhwa - Congress on Intelligent Systems, 2023 - Springer
This study provides a comprehensive comparison of the different algorithms implemented on
a reservoir system, and the results are statistically analyzed from the results of other …

[引用][C] Machine Learning with Applications