A systematic review on foggy datasets: Applications and challenges
In the early mornings and the late nights of winter season, the majority of road accidents
occur every year despite less traffic due to the poor visibility of drivers in the presence of fog …
occur every year despite less traffic due to the poor visibility of drivers in the presence of fog …
End-to-end V2X latency modeling and analysis in 5G networks
B Coll-Perales, MC Lucas-Estañ… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
5G networks provide higher flexibility and improved performance compared to previous
cellular technologies. This has raised expectations on the possibility to support advanced …
cellular technologies. This has raised expectations on the possibility to support advanced …
ZoneTrace: A Zone Monitoring Tool for F2FS on ZNS SSDs
We present ZoneTrace, a runtime monitoring tool for the Flash-Friendly File System (F2FS)
on Zoned Namespace (ZNS) SSDs. ZNS SSD organizes its storage into zones of sequential …
on Zoned Namespace (ZNS) SSDs. ZNS SSD organizes its storage into zones of sequential …
Automated lane centering: an off-the-shelf computer vision product vs. Infrastructure-based chip-enabled raised pavement markers
Safe autonomous vehicle (AV) operations depend on an accurate perception of the driving
environment, which necessitates the use of a variety of sensors. Computational algorithms …
environment, which necessitates the use of a variety of sensors. Computational algorithms …
Latency Analysis of In-Vehicle Network for Advanced Driver Assistance System
Considering the advancements in autonomous driving technologies, the necessity for an
advanced driver assistance system (ADAS) to incorporate a multitude of sensors for …
advanced driver assistance system (ADAS) to incorporate a multitude of sensors for …
A cloud-based ai framework for machine learning orchestration: A “driving or not-driving” case-study for self-driving cars
Self-driving cars rely on a plethora of algorithms in order to perform safe driving
manoeuvres. Training those models is expensive (eg hardware cost, storage, energy) and …
manoeuvres. Training those models is expensive (eg hardware cost, storage, energy) and …
Real-Time Fog Removal Using Google Maps Aided Computer Vision Techniques
AS DSouza, R Mohamed, Mishika… - Modelling, Simulation and …, 2020 - Springer
This paper aims to tackle the problem of impaired visibility for drivers on the road due to fog,
which is a safety concern. This novel approach is a unique comparative algorithm through …
which is a safety concern. This novel approach is a unique comparative algorithm through …