Real-Time Vehicle and Lane Detection using Modified OverFeat CNN: A Comprehensive Study on Robustness and Performance in Autonomous Driving
MH Saika, SP Avi, KT Islam… - Journal of …, 2024 - scholarworks.utrgv.edu
This examination researches the use of profound learning methods, explicitly utilizing
Convolutional Brain Organizations (CNNs), for ongoing recognition of vehicles and path …
Convolutional Brain Organizations (CNNs), for ongoing recognition of vehicles and path …
Lane detection for autonomous vehicles using image processing techniques
S Mehfuz - … on Power, Instrumentation, Energy and Control …, 2023 - ieeexplore.ieee.org
Lane line detection is given great attention in the study on autonomous driving and driver
support systems, which, in the last few years, has become a crucial area in the field of …
support systems, which, in the last few years, has become a crucial area in the field of …
Trajectory Data Driven Driving Style Recognition for Autonomous Vehicles Using Unsupervised Clustering
A Dixit - Communications on Applied Nonlinear Analysis, 2024 - internationalpubls.com
Introduction: This research focuses on enhancing the understanding and classification of
vehicle driving styles by analyzing extensive trajectory data. Recognizing and categorizing …
vehicle driving styles by analyzing extensive trajectory data. Recognizing and categorizing …
[PDF][PDF] Performance Investigation of Cascaded Multilevel Inverter and Dual Inverter using SVPWM technique
D Muruganandhan, S Punitha, R Muthunagai, M Murali - kronika.ac
In this paper, the performance investigation approach for multilevel inverter (MLI) and Dual
Inverter (DI) using space vector pulse width modulation (SVPWM) techniqueis modeled …
Inverter (DI) using space vector pulse width modulation (SVPWM) techniqueis modeled …