DRIVING ASSIST AND ALERTING PROTOCOL USING DEEP LEARNING FRAMEWORK FOR DEPLORABLE WEATHER CONDITIONS
Sabitha P
, Ananda Vardhan C , Abhiram D V S , Irfaan Ahamad MA
—YOLOv9, Advanced Driver Assistance Systems (ADAS), Traffic Sign Detection, Number Plate Recognition, foggy Weather Detection, Deep Learning, Electric Vehicles (EVs), Road Safety, Real-Time Object Detection, Smart Mobility
With the emergence of smart transport and electric
cars (EVs), road safety against poor weather conditions has
become even more critical In this context, the paper suggests
Tra Sign Detection and Number Plate Recognition using
deep learning on ¥OLOv9 specifically appropriate to poor
weather conditions like fog. The model is the core component
of Advanced Driver Assistance Systems (ADAS) and offers
accurate and real-time recognition of road signs and car
number plates to support driver perception and decisionmaking. Unlike multi-model systems, however, this system
utilizes only ¥OLOv9, the speed-accuracy-optimized variant,
to give effective detection under low-visibility conditions. The
application enhances the safety aspects of intelligent cars
and EVs, conforming to the evolving demands of modern
transport. Kis the focus on real-time processing and
inclement weather tolerance, this work significantly
contributes to the development of resilient and effective
ADAS technologies.
"DRIVING ASSIST AND ALERTING PROTOCOL USING DEEP LEARNING FRAMEWORK FOR DEPLORABLE WEATHER CONDITIONS", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.12, Issue 4, page no.a799-a806, April-2025, Available :https://tijer.org/TIJER/papers/TIJER2504117.pdf
Volume 12
Issue 4,
April-2025
Pages : a799-a806
Paper Reg. ID: TIJER_157512
Published Paper Id: TIJER2504117
Downloads: 000271
Research Area: Science and Technology
Country: Chennai, Tamil Nadu, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
