RETRACTED ARTICLE: Spatio–temporal attention based real-time environmental monitoring systems for landslide monitoring and prediction
MVS Babu, N Ashokkumar, A Joshi… - Spatial Information …, 2024 - Springer
Due to their intense concealment and tremendous destructiveness during the course of their
lengthy growth, landslides are difficult to monitor. Landslide data gathering exhibits traits …
lengthy growth, landslides are difficult to monitor. Landslide data gathering exhibits traits …
Cooperative Decision-Making for CAVs at Unsignalized Intersections: A MARL Approach with Attention and Hierarchical Game Priors
The development of autonomous vehicles has shown great potential to enhance the
efficiency and safety of transportation systems. However, the decision-making issue in …
efficiency and safety of transportation systems. However, the decision-making issue in …
CAI2M2 :A Centralized Autonomous Inclusive Intersection Management Mechanism for Heterogeneous Connected Vehicles
A Gholamhosseinian, J Seitz - IEEE Open Journal of Vehicular …, 2024 - ieeexplore.ieee.org
This paper introduces a novel centralized autonomous inclusive intersection management
mechanism (CAI 2 M 2) for heterogeneous connected vehicles (HCVs). The system …
mechanism (CAI 2 M 2) for heterogeneous connected vehicles (HCVs). The system …
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 …