Jan 18, 2023 · In this paper, a method is presented to mimic drivers' behavior using a convolutional neural network (CNN). First, seven features are extracted ...

In this paper, a method is presented to mimic drivers' behavior using a convolutional neural network (CNN). First, seven features are extracted from a dataset ...

In this paper, a method is presented to mimic drivers' behavior using a convolutional neural network (CNN). First, seven features are extracted from a dataset ...

... expert driver. In this paper, a method is presented to mimic drivers' behavior using a convolutional neural network (CNN). First, seven features are ...

In this study, we propose a compact and efficient multi-stage Convolutional Neural Network (CNN) architecture which can learn both the lane markings ...

Dive into the research topics of 'Autonomous Slalom Maneuver Based on Expert Drivers' Behavior Using Convolutional Neural Network'. Together they form a unique ...

Lane changing and obstacle avoidance are one of the most important tasks in automated cars. To date, many algorithms have been suggested that are generally ...

Autonomous Slalom Maneuver Based on Expert Drivers' Behavior Using Convolutional Neural Network ... First, seven features are extracted from a dataset gathered ...

Feb 4, 2023 · I'm pleased to announce that our paper entitled "Autonomous Slalom Maneuver Based on Expert Drivers' Behavior Using Convolutional Neural Network ...

Apr 25, 2024 · Autonomous Slalom Maneuver Based on Expert Drivers' Behavior Using Convolutional Neural Network. ... Coauthor network. maximize. Note that ...