A Novel Lane-Change Decision-Making With Long-Time Trajectory Prediction for Autonomous Vehicle
In the process of autonomous vehicle lane changing, a reliable decision-making system is crucial for driving safety and comfort. However, traditional decision-making systems have short-term characteristics, which makes them susceptible to real-time inference from surrounding vehicles. Usually, syste...
Main Authors: | Xudong Wang, Jibin Hu, Chao Wei, Luhao Li, Yongliang Li, Miaomiao Du |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10328871/ |
Similar Items
-
Trajectory Planning with Time-Variant Safety Margin for Autonomous Vehicle Lane Change
by: Xiaodong Wu, et al.
Published: (2020-02-01) -
Effects of connected and autonomous vehicle merging behavior on mainline human-driven vehicle
by: Lishengsa Yue, et al.
Published: (2022-02-01) -
Feasible Trajectories Generation for Autonomous Driving Vehicles
by: Trieu Minh Vu, et al.
Published: (2021-11-01) -
A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving
by: Jinxin Liu, et al.
Published: (2022-12-01) -
Maximum Acceptable Risk as Criterion for Decision-Making in Autonomous Vehicle Trajectory Planning
by: Maximilian Geisslinger, et al.
Published: (2023-01-01)