D-HAL: Distributed Hierarchical Adversarial Learning for Multi-Agent Interaction in Autonomous Intersection Management
G Li, J Wu, Y He - arXiv preprint arXiv:2303.02630, 2023 - arxiv.org
Autonomous Intersection Management (AIM) provides a signal-free intersection scheduling
paradigm for Connected Autonomous Vehicles (CAVs). Distributed learning method has …
paradigm for Connected Autonomous Vehicles (CAVs). Distributed learning method has …
Automatic Route Design by Stepwise Subdivision of Virtual Walls—Reduces Route Length and Speeds Up Execution Time—
Y Itoh, J Hoshino, T Suzuki, K Matsuda… - Journal of Robotics …, 2024 - jstage.jst.go.jp
With the development of autonomous driving technology utilizing machine learning, AI, and
sensors, research on autonomous driving control has become more active, and a large …
sensors, research on autonomous driving control has become more active, and a large …
[PDF][PDF] Technical report: Hybrid autonomous intersection management
A Parks-Young, G Sharon - arXiv preprint arXiv:2204.07704, 2022 - arxiv.org
Technical Report: Hybrid Autonomous Intersection Management Page 1 1 Technical Report:
Hybrid Autonomous Intersection Management Aaron Parks-Young1 and Guni Sharon1 …
Hybrid Autonomous Intersection Management Aaron Parks-Young1 and Guni Sharon1 …
Management method for multiple sensors' recognizing and tracking multiple targets cooperatively
C PANG, G SHAN, X DUAN - 北京航空航天大学学报, 2019 - bhxb.buaa.edu.cn
Aimed at the problem that there are false targets among targets being tracked, a target
recognition model based on risk theory, Bayesian theory and evidence theory is established …
recognition model based on risk theory, Bayesian theory and evidence theory is established …
[HTML][HTML] 基于SUMO 的虚拟交通灯的设计与实现
赵会奋， 蔡文钦， 宋玮， 蒋毅 - Computer Science and Application, 2022 - hanspub.org
现行的传统物理交通信号灯存在着不能很好适应复杂的交通情况和高额的维护费用等弊端,
一种解决方法是采取虚拟交通灯方案, 依托车联网技术, 通过车车交互来选择领导车辆 …
一种解决方法是采取虚拟交通灯方案, 依托车联网技术, 通过车车交互来选择领导车辆 …
[HTML][HTML] 基于操作风险的双模式传感器管理方法
庞策， 单甘霖 - 控制与决策, 2020 - kzyjc.alljournals.cn
基于风险理论研究同时面向目标检测和跟踪任务的传感器管理方法. 首先, 定义目标检测风险和
目标跟踪风险, 并分别给出计算方法; 其次, 以目标检测风险最小化为目标函数建立传感器部署 …
目标跟踪风险, 并分别给出计算方法; 其次, 以目标检测风险最小化为目标函数建立传感器部署 …
Improvement Reinforcement Learning for Solving Multisensor Collaborative Scheduling Problems
Z Zhang, N Li - 2023 IEEE 11th International Conference on …, 2023 - ieeexplore.ieee.org
The essence of multi-sensor scheduling is a multi-objective optimization problem, which
aims to finding the optimal matching relationship between sensors and multiple motion …
aims to finding the optimal matching relationship between sensors and multiple motion …
Control, perception and coordination algorithms for advanced driver-assistance system: optimized implementations and simulations
F Muzzini - 2023 - repository.unipr.it
The future of urban mobility is undergoing changes with the development of intelligent cities
and the increased use of autonomous vehicles. The transition to this new paradigm is a …
and the increased use of autonomous vehicles. The transition to this new paradigm is a …
Deadlock Resolution for Intelligent Intersection Management with Changeable Trajectories
LH Lin, KC Wang, YH Lee, KE Lin… - 2022 IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Intelligent intersection management aims to schedule vehicles so that vehicles can pass
through an intersection efficiently and safely. However, inaccurate control, imperfect …
through an intersection efficiently and safely. However, inaccurate control, imperfect …
Safe and Robust Cooperative Algorithm for Connected Autonomous Vehicles
M Khayatian - 2021 - search.proquest.com
Abstract Autonomous Vehicles (AVs) have the potential to significantly evolve transportation.
AVs are expected to make transportation safer by avoiding accidents that happen due to …
AVs are expected to make transportation safer by avoiding accidents that happen due to …