Behavioral intention prediction in driving scenes: A survey
In driving scenes, road agents often engage in frequent interaction and strive to understand
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …
Modeling driver decision behavior of the cut-In process
For a long period, automated vehicles (AVs) or vehicle platoons will coexist with human-
driven vehicles (HDVs) in heterogeneous traffic flow, where the cut-in maneuver of human …
driven vehicles (HDVs) in heterogeneous traffic flow, where the cut-in maneuver of human …
A Hierarchical Intention Inference Model for Connected and Automated Vehicles
Z Li, Y Wang, Z Zuo, C Hu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Lane-changing is one of the typical maneuvers with high risk, which can cause
uncomfortable brake and dangerous crash. An experienced human driver keeps an eye on …
uncomfortable brake and dangerous crash. An experienced human driver keeps an eye on …
Clustering and Analysis of the Driving Style in the Cut-in Process
For a long period, autonomous vehicles (AVs) and human-driven vehicles (HDVs) need to
share roads in mixed traffic flow, where the cut-ins of the HDVs towards the AVs can …
share roads in mixed traffic flow, where the cut-ins of the HDVs towards the AVs can …
A Defensive Motion Framework for Autonomous Platoon to Handle Cut-in Maneuvers
Autonomous platooning has emerged as a prominent trend in intelligent transportation
systems. However, in hybrid traffic situations where autonomous vehicles (AVs) coexist with …
systems. However, in hybrid traffic situations where autonomous vehicles (AVs) coexist with …
Why Studying Cut-ins? Comparing Cut-ins and Other Lane Changes Based on Naturalistic Driving Data
Extensive research has been conducted to explore vehicle lane changes, while the study on
cut-ins has not received sufficient attention. The existing studies have not addressed the …
cut-ins has not received sufficient attention. The existing studies have not addressed the …
A Data-Driven Long-Term Prediction Method of Mandatory and Discretionary Lane Change Based on Transformer
N Zhao, J Zhang, B Wang, Y Lu… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Current common choices of data-driven lane change predicting targets are left lane change,
right lane change and car-following. However, to achieve accurate long-term lane change …
right lane change and car-following. However, to achieve accurate long-term lane change …
A Bounded Rationality-Aware Car-Following Strategy for Alleviating Cut-In Events and Traffic Disturbances in Traffic Oscillations
Neighboring human-driven vehicles (HDVs) frequently perform uncertain cut-in maneuvers,
posing a threat to the safety and efficiency of autonomous vehicles (AVs), particularly in …
posing a threat to the safety and efficiency of autonomous vehicles (AVs), particularly in …
Why Anticipatory Sensing Matters in Commercial ACC Systems under Cut-In Scenarios: A Perspective from Stochastic Safety Analysis
This study presents an analytical solution for the vehicle state evolution of Adaptive Cruise
Control (ACC) systems under cut-in scenarios, incorporating sensing delays and …
Control (ACC) systems under cut-in scenarios, incorporating sensing delays and …
A Lane Change Assisting Framework for Large Vehicles
N Zhao, X Wang, B Wang, J Zhang… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
The trend of intelligent transportation has been leading the world for years, and human
acceptance of applying Advanced Driver Assistance Systems (ADAS) in driving is …
acceptance of applying Advanced Driver Assistance Systems (ADAS) in driving is …