Fuzzy adaptive cruise control with model predictive control responding to dynamic traffic conditions for automated driving
Abstract Traditional Adaptive Cruise Control (ACC) systems often struggle to dynamically
adapt to rapidly changing traffic conditions, resulting in suboptimal performance …
adapt to rapidly changing traffic conditions, resulting in suboptimal performance …
Recognizing Distraction for Assistive Driving by Tracking Body Parts Using Novel Convolutional Neural Network with LGM Classifier Over Random Forest with …
R Shyam, G Ramkumar - 2023 Intelligent Computing and …, 2023 - ieeexplore.ieee.org
In the context of identifying driver distractions, the goal of this study is to investigate the
degree of accuracy exhibited by the most recent iterations of deep learning algorithms. Both …
degree of accuracy exhibited by the most recent iterations of deep learning algorithms. Both …
Development and Validation of Adaptive Cruise Control Algorithm for ADAS Applications
AH Priyadharshini, J Khan… - Fourth Congress on …, 2024 - books.google.com
Intelligent systems which could assist the driver and reduce their total workload are the
popular research topic nowadays. These intelligent systems are the advanced driver …
popular research topic nowadays. These intelligent systems are the advanced driver …
Development and Validation of Adaptive Cruise Control Algorithm for ADAS Applications
A Hari Priyadharshini, J Khan, P Sreedharan - Congress on Intelligent …, 2023 - Springer
Intelligent systems which could assist the driver and reduce their total workload are the
popular research topic nowadays. These intelligent systems are the advanced driver …
popular research topic nowadays. These intelligent systems are the advanced driver …