Autonomous vehicle cut-in algorithm for lane-merging scenarios via policy-based reinforcement learning nested within finite-state machine

S Hwang, K Lee, H Jeon, D Kum - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Lane-merging scenarios pose highly challenging problems for autonomous vehicles due to
conflicts of interest between the human-driven and cutting-in autonomous vehicles. Such …
被引用次数：55 相关文章

Autonomous Vehicle Cut-In Algorithm for Lane-Merging Scenarios via Policy-Based Reinforcement Learning Nested Within Finite-State Machine

S Hwang, K Lee, H Jeon, D Kum - 2022 - scholarworks.bwise.kr
Lane-merging scenarios pose highly challenging problems for autonomous vehicles due to
conflicts of interest between the human-driven and cutting-in autonomous vehicles. Such …

Autonomous Vehicle Cut-In Algorithm for Lane-Merging Scenarios via Policy-Based Reinforcement Learning Nested Within Finite-State Machine

S Hwang, K Lee, H Jeon, D Kum - IEEE TRANSACTIONS ON …, 2022 - koasas.kaist.ac.kr
Lane-merging scenarios pose highly challenging problems for autonomous vehicles due to
conflicts of interest between the human-driven and cutting-in autonomous vehicles. Such …

Autonomous Vehicle Cut-In Algorithm for Lane-Merging Scenarios via Policy-Based Reinforcement Learning Nested Within Finite-State Machine

S Hwang, K Lee, H Jeon, D Kum - IEEE Transactions on Intelligent …, 2022 - pure.kaist.ac.kr
Lane-merging scenarios pose highly challenging problems for autonomous vehicles due to
conflicts of interest between the human-driven and cutting-in autonomous vehicles. Such …

Autonomous Vehicle Cut-In Algorithm for Lane-Merging Scenarios via Policy-Based Reinforcement Learning Nested Within Finite-State Machine

S Hwang, K Lee, H Jeon, D Kum - IEEE Transactions on Intelligent …, 2022 - trid.trb.org
Lane-merging scenarios pose highly challenging problems for autonomous vehicles due to
conflicts of interest between the human-driven and cutting-in autonomous vehicles. Such …