- Cooperative and Interaction|aware Driver Model for Lane Change ...🔍
- Safety During Merging and Lane Change and Impact on Traffic Flow🔍
- Attention|Based Hierarchical Deep Reinforcement Learning for ...🔍
- Using LLMs For Autonomous Vehicles🔍
- The 6 Levels of Vehicle Autonomy Explained🔍
- UNDERSTANDING THE DIFFERENCES IN LANE CHANGE ...🔍
- Effective lane detection on complex roads with convolutional ...🔍
- SAFE AND EFFICIENT LANE CHANGING IN AUTONOMOUS ...🔍
A Human|Like Model to Understand Surrounding Vehicles' Lane ...
Cooperative and Interaction-aware Driver Model for Lane Change ...
The algorithm is designed for both lane changing and lane keeping vehicles, and effectively considers interaction by using an interaction model ...
Dynamical Model: E has a model of its surrounding vehicles and uses it to estimate the ... Langari, “A human-like game theory-based controller for ...
Attention-Based Hierarchical Deep Reinforcement Learning for ...
A number of attempts used deep reinforcement learning to learn driving policies: [21] learned a safe multi- agent model for autonomous vehicles on the road and ...
Using LLMs For Autonomous Vehicles | by Cobus Greyling - Medium
... lane change intentions of nearby vehicles ahead of time and ... lane changes, demonstrating their ability to understand driving behaviour ...
The 6 Levels of Vehicle Autonomy Explained | Synopsys Automotive
Most vehicles on the road today are Level 0: manually controlled. The human provides the "dynamic driving task" although there may be systems in ...
The lane changing vehicle (LCV) and surrounding vehicles are illustrated in Figure 1. Many researchers have developed lane-changing models in the past.
Effective lane detection on complex roads with convolutional ...
A crucial component is the safety of these automated activities. A critical step in autonomous driving recognizes traffic patterns around cars.
SAFE AND EFFICIENT LANE CHANGING IN AUTONOMOUS ...
The learner model, in particular, teaches the target vehicle (agent) to learn while interacting with the traffic around it. A high-fidelity.
Dynamic lane-changing game model in mixed autonomous and ...
sider the uncertainty of human driving in changing lanes ... realize efficient and safe lane switching operations for autonomous vehicles.
Lane Change Assist (LCA) | What It Is and How It Works
Lane change assist is a feature that helps drivers safely make lane changes by notifying you when cars are around your or approaching you, and ...
Comparative Analysis of critical lane change for Autonomous ...
In this paper, we compare the behaviours of human drivers and AD vehicles when dealing with critical and ordinary scenarios of lane change manoeuvres on ...
A Comprehensive Examination of Naturalistic Lane-Changes | NHTSA
... driving" are needed to understand lane changing, including on-road ... lanes in relation to surrounding vehicles). These data could help identify ...
LSTM-based lane change prediction using Waymo open motion ...
Understanding the intentions of the surrounding vehicles and ... Understanding and modeling the human driver. Vehicle System Dynamics ...
Convolution Neural Network-based Lane Change Intention ...
However, uncertainty about drivers' lane change maneuvers in surrounding vehicles, such as unexpected cut-in, remains a challenge. We propose a novel adaptive ...
Design of AI-based lane changing modules in connected and ...
An LC model usually encodes a rational decision to change lanes based on various parameters that describe the environment around a vehicle. The ...
UNL | Model predicts lane changes, could inform driver-assist systems
Researchers have developed a new model that can read between the white lines to help predict when vehicles will change lanes.
Researchers Introduce A Novel Human-Like Driving And Decision ...
In the last years, we assisted to a great hype around autonomous vehicles (AVs). However, if we want to see streets where AVs and human ...
A self-driving car uses a computational model to mimic human beings and estimate the states of its own and surrounding vehicles. The cut-in intention of the ...
Researching and Developing an Autonomous Vehicle Lane ...
Four years ago, a system known as PilotNet became the first NVIDIA system to steer an autonomous car along a roadway.
Modeling and simulation of vehicle group lane-changing behaviors ...
The simulation results verify the validity and rationality of the corresponding vehicle group lane-changing behavior model strategies, effectively standardize ...