- A Human|Like Model to Understand Surrounding Vehicles' Lane ...🔍
- A Human|like Model to Understand Surrounding Vehicles Lane ...🔍
- Implementation of the Human‐Like Lane Changing Driver Model ...🔍
- Support Vector Machine Based Lane|Changing Behavior ...🔍
- A human|like game theory|based controller for automatic lane ...🔍
- Full article🔍
- Human|Like Lane Change Decision Model for Autonomous ...🔍
- Lane Change Intention Recognition and Vehicle Status Prediction ...🔍
A Human|Like Model to Understand Surrounding Vehicles' Lane ...
A Human-Like Model to Understand Surrounding Vehicles' Lane ...
By imitating the selective attention mechanism of human vision systems, the proposed model emulates the way human drivers concentrate on the ...
A Human-Like Model to Understand Surrounding Vehicles' Lane ...
A Human-like Lane Changing Intention Understanding Model (HLCIUM) for autonomous driving is proposed to understand the lane changing intentions of ...
A Human-like Model to Understand Surrounding Vehicles Lane ...
In this paper, a Human-like Lane. Changing Intention Understanding Model (HLCIUM) for autonomous driving is proposed to understand the lane changing intentions ...
A Human-Like Model to Understand Surrounding Vehicles' Lane ...
By imitating the selective attention mechanism of human vision systems, the proposed model emulates the way human drivers concentrate on the surrounding ...
Implementation of the Human‐Like Lane Changing Driver Model ...
If the driving behavior of an autonomous vehicle is similar to that of a skilled driver, the human driver can extricate himself from fatigue ...
Support Vector Machine Based Lane-Changing Behavior ...
In this study, the behavior of adjacent traffic vehicles is identified, and the advantages of different models in short- and long-term prediction are combined ...
A human-like game theory-based controller for automatic lane ...
The aggressiveness of the surrounding vehicles/drivers is estimated based on their reactions. With this model, the controller is capable of extracting ...
Full article: An effective lane changing behaviour prediction model ...
The primary focus of this study revolves around predicting lane-changing behaviour, a critical aspect of driving activity with significant implications for road ...
Human-Like Lane Change Decision Model for Autonomous ... - MDPI
Determining an appropriate time to execute a lane change is a critical issue for the development of Autonomous Vehicles (AVs).
Lane Change Intention Recognition and Vehicle Status Prediction ...
Abstract:Accurately detecting and predicting lane change (LC)processes of human ... understand their surrounding environment, recognize potential ...
Human-like car-following model for autonomous vehicles ...
The impacts of cut-in events on car-following behavior on a real freeway road was addressed. ... A Human-like car-following model with consideration of the cut-in ...
Ensemble deep learning-based lane-changing behavior prediction ...
This paper proposes a fused model that predicts vehicle lane-changing behaviors based on the road traffic environment and vehicle motion parameters.
Deep-Learning-Based Network for Lane Following in Autonomous ...
For human-like driving, Xia et al. [4] proposed the Human-Like Lane-Changing Intention Understanding Model (HLCIUM) to understand the lane ...
Learning Vehicle Surrounding-aware Lane-changing Behavior from ...
A surrounding-aware LSTM algorithm is proposed for predicting the intention of a vehicle to perform a lane change that takes advantage of both vehicle past ...
A review on machine learning-based models for lane-changing ...
Recent contributions focus on developing these models for estimating different driving behaviors like lane or speed change. Thus, the models are ...
We propose a learning-based approach to understand surrounding traffic and make decisions for a safe lane change. Our contributions and advantages of the ...
Analysis of Lane-Changing Decision-Making Behavior of ... - NCBI
Autonomous vehicles perceive environmental information through sensors to provide a basis for the decision making of vehicles. Based on this, ...
Cognition‐inspired behavioural feature identification and motion ...
To make drivers understand the decisions of vehicles, human-like AD vehicles' velocities and positions in typical scenarios should be ...
Human Drivers Based Active-Passive Model for Automated Lane ...
To understand the human lane change behavior model, we carried out experiments on Japanese expressways. By analyzing the human-driver lane ...
Lane Change Decision-Making of Autonomous Vehicles - YouTube
Dr. Brian Lin, Assistant Research Scientist at the University of Michigan Transportation Research Institute (UMTRI), joins the latest ...