Situation awareness in ai-based technologies and multimodal systems: Architectures, challenges and applications
Situation Awareness (SA) is a process of sensing, understanding and predicting the
environment and is an important component in complex systems. The reception of …
environment and is an important component in complex systems. The reception of …
[PDF][PDF] Data-driven polarimetric imaging: a review
This study reviews the recent advances in data-driven polarimetric imaging technologies
based on a wide range of practical applications. The widespread international research and …
based on a wide range of practical applications. The widespread international research and …
AiOENet: All-in-one low-visibility enhancement to improve visual perception for intelligent marine vehicles under severe weather conditions
Benefiting from the higher performance-cost ratio and installation convenience, the visible-
light imaging camera has become one of the most widely-used onboard sensors for safe …
light imaging camera has become one of the most widely-used onboard sensors for safe …
You only look at once for real-time and generic multi-task
High precision, lightweight, and real-time responsiveness are three essential requirements
for implementing autonomous driving. In this study, we incorporate A-YOLOM, an adaptive …
for implementing autonomous driving. In this study, we incorporate A-YOLOM, an adaptive …
Real-Time Robust State Estimation for Large-Scale Low-Observability Power-Transportation System Based on Meta Physics-Informed Graph TimesNet
The ever-increasing penetration of Electric Vehicles (EVs) has emerged as an evident
challenge within the Power Distribution System (PDS). Existing Distribution System State …
challenge within the Power Distribution System (PDS). Existing Distribution System State …
TST-Trans: A Transformer Network for Urban Traffic Flow Prediction
K Zhang, H Ren, J Kang, C Guo… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
A critical challenge for predicting urban traffic flows is to simultaneously process time series
and spatial features from heterogeneous traffic data collected by diverse Internet of Things …
and spatial features from heterogeneous traffic data collected by diverse Internet of Things …
HSV-3S and 2D-GDA for High-Saturation Low-Light Image Enhancement in Night Traffic Monitoring
This paper proposes HSV (hue, saturation, value) with three sectors (HSV-3S) and two-
dimensional gradient descent algorithm (2D-GDA) for high-saturation low-light image …
dimensional gradient descent algorithm (2D-GDA) for high-saturation low-light image …
Review and evaluation of recent advancements in image dehazing techniques for vision improvement and visualization
S Shit, DN Ray - Journal of Electronic Imaging, 2023 - spiedigitallibrary.org
Vision gets obscured in adverse weather conditions, such as heavy downpours, dense fog,
haze, snowfall, etc., which increase the number of road accidents yearly. Modern …
haze, snowfall, etc., which increase the number of road accidents yearly. Modern …
LiDAR-PDP: A LiDAR-Based Panoptic Dynamic Driving Environment Perception Algorithm
H Wang, J Li, Y Cai, L Chen, Y Li - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A LiDAR-based driving perception system is crucial for autonomous driving, as it provides
real-time, accurate, and robust perception results that significantly enhance driving safety …
real-time, accurate, and robust perception results that significantly enhance driving safety …