Smooth behavioral estimation for ramp merging control in autonomous driving

C Dong, JM Dolan, B Litkouhi - 2018 IEEE Intelligent Vehicles …, 2018 - ieeexplore.ieee.org
Cooperative driving behavior is essential for driving in traffic, especially for ramp merging,
lane changing or navigating intersections. Autonomous vehicles should also man-age these …

Intention estimation for ramp merging control in autonomous driving

C Dong, JM Dolan, B Litkouhi - 2017 IEEE intelligent vehicles …, 2017 - ieeexplore.ieee.org
Cooperative driving behavior is essential for driving in traffic, especially for ramp merging,
lane changing or navigating intersections. Autonomous vehicles should also manage these …

Interactive ramp merging planning in autonomous driving: Multi-merging leading PGM (MML-PGM)

C Dong, JM Dolan, B Litkouhi - 2017 IEEE 20th International …, 2017 - ieeexplore.ieee.org
Cooperative driving behavior is essential for driving in traffic, especially for ramp merging,
lane changing or navigating intersections. Autonomous vehicles should also manage these …

Interaction-Aware Decision-Making for Autonomous Vehicles in Forced Merging Scenario Leveraging Social Psychology Factors

X Li, K Liu, HE Tseng, A Girard… - arXiv preprint arXiv …, 2023 - arxiv.org
Understanding the intention of vehicles in the surrounding traffic is crucial for an
autonomous vehicle to successfully accomplish its driving tasks in complex traffic scenarios …

Fg-gmm-based interactive behavior estimation for autonomous driving vehicles in ramp merging control

Y Lyu, C Dong, JM Dolan - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Interactive behavior is important for autonomous driving vehicles, especially for scenarios
like ramp merging which require significant social interaction between autonomous driving …

Interaction-aware trajectory prediction and planning for autonomous vehicles in forced merge scenarios

K Liu, N Li, HE Tseng, I Kolmanovsky… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Merging is, in general, a challenging task for both human drivers and autonomous vehicles,
especially in dense traffic, because the merging vehicle typically needs to interact with other …

Active Learning with Dual Model Predictive Path-Integral Control for Interaction-Aware Autonomous Highway On-ramp Merging

J Knaup, J D'sa, B Chalaki, T Naes… - arXiv preprint arXiv …, 2023 - arxiv.org
Merging into dense highway traffic for an autonomous vehicle is a complex decision-making
task, wherein the vehicle must identify a potential gap and coordinate with surrounding …

Cooperation-aware reinforcement learning for merging in dense traffic

M Bouton, A Nakhaei, K Fujimura… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Decision making in dense traffic can be challenging for autonomous vehicles. An
autonomous system only relying on predefined road priorities and considering other drivers …

Cooperative multi-vehicle behavior coordination for autonomous driving

T Kessler, A Knoll - 2019 IEEE Intelligent Vehicles Symposium …, 2019 - ieeexplore.ieee.org
Creating rational driving options and designing the decision process to select the best
solution in a traffic situation with multiple participants present is a challenging problem …

Autonomous highway merging in mixed traffic using reinforcement learning and motion predictive safety controller

Q Liu, F Dang, X Wang, X Ren - 2022 IEEE 25th International …, 2022 - ieeexplore.ieee.org
Deep reinforcement learning (DRL) has a great potential for solving complex decision-
making problems in autonomous driving, especially in mixed-traffic scenarios where …