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Oct 5, 2023 · Abstract—Multi-Agent Reinforcement Learning (MARL) has become a promising solution for constructing a multi- agent autonomous driving system ...
Oct 5, 2023 · Abstract:Multi-Agent Reinforcement Learning (MARL) has become a promising solution for constructing a multi-agent autonomous driving system ...
Dec 16, 2023 · [Show full abstract] visual place recognition in autonomous driving, we develop a Hidden Markov Model approach with a two-tiered memory ...
People also ask
What are perception systems for autonomous driving?
The perception module administers sensing of the surroundings and provides the model of the local environment. Localization is responsible for precisely estimating the vehicle's pose in the map, planning and decision- making decides how the vehicle will move through the surroundings.
What is Level 3 autonomous driving system?
Level 3 vehicles have “environmental detection” capabilities and can make informed decisions for themselves, such as accelerating past a slow-moving vehicle. But―they still require human override. The driver must remain alert and ready to take control if the system is unable to execute the task.
Learning Hierarchical Behavior and Motion Planning for Autonomous Driving ... A Two-Stage Based Social Preference Recognition in Multi-Agent Autonomous Driving ...
Jan 8, 2024 · A Two-Stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System. ... Recognition in Multi-Agent Autonomous Driving System ...
Oct 5, 2023 · A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System ... agent autonomous driving system (MADS) in complex and ...
This paper proposes a distributed reinforcement learning method based on deep Q-network and the consensus algorithm to deal with the multi-vehicle platoon ...
DI Drive Gym focuses on single-agent autonomous driving systems and ... A Two-Stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System.
-66.61. A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System. Jintao Xue, Dongkun Zhang, Rong Xiong, Yue Wang, Eryun Liu.
This paper proposes a two-stage system framework that improves the performance of the driving policy in MADS compared to two state-of-the-art MARL ...