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
merge into. In this paper, we consider the problem of autonomous vehicle control for forced
merge scenarios… ramp merging planning in autonomous driving: Multi-merging leading PGM (…

Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge

P Wang, CY Chan - 2017 IEEE 20th International Conference …, 2017 - ieeexplore.ieee.org
… The proposed architecture has the potential to be extended and applied to other autonomous
driving scenarios such as driving through a complex intersection or changing lanes under …

Autonomous driving strategies at intersections: Scenarios, state-of-the-art, and future outlooks

L Wei, Z Li, J Gong, C Gong, J Li - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
… In [57], a cooperative decision-making method based on the coalitional game theory is
proposed to solve the multi-lane merging problem for autonomous driving vehicles. …

Collaborative autonomous driving—A survey of solution approaches and future challenges

S Malik, MA Khan, H El-Sayed - Sensors, 2021 - mdpi.com
autonomous driving decision paradigm by providing a survey of various applications of
cooperative driving (car parking, lane change and merge… and more futuristic scenario, specifically …

Intention estimation for ramp merging control in autonomous driving

C Dong, JM Dolan, B Litkouhi - 2017 IEEE intelligent vehicles …, 2017 - ieeexplore.ieee.org
… In this paper, we present a novel learning-based method to efficiently estimate other
vehicles’ intentions and interact with them in ramp merging scenarios, without over-the-air …

A deep reinforcement learning-based approach for autonomous driving in highway on-ramp merge

H Wang, S Yuan, M Guo, X Li… - Proceedings of the …, 2021 - journals.sagepub.com
… of highway merge via parallel-type on-ramp for autonomous vehicles (… ) and lane merge.
The total reward for this on-ramp … Diagrammatic sketch of the highway merge scenario in this …

Interaction-aware planning with deep inverse reinforcement learning for human-like autonomous driving in merge scenarios

J Nan, W Deng, R Zhang, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
… In light of the challenges in merge scenarios, we present an interaction-aware decision-making
and planning method for human-like autonomous driving based on deep inverse …

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
… crowded and congested merging scenario, interacting with one merging vehicle may not be
sufficient, since multiple merging vehicles could be on a ramp. An autonomous vehicle must …

Safe, multi-agent, reinforcement learning for autonomous driving

S Shalev-Shwartz, S Shammah, A Shashua - arXiv preprint arXiv …, 2016 - arxiv.org
driving scenario, which we call the double merge scenario (see Figure 1 for an illustration).
In a double merge, vehicles approach the merge … can decide whether to merge into the other …

Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles

C Hubmann, M Becker, D Althoff… - 2017 IEEE intelligent …, 2017 - ieeexplore.ieee.org
… algorithm is evaluated in a merge scenario on a T-Junction … POMDP framework for
autonomous driving under various … its behavior for different future scenarios, to simulate the effect …