Autonomous Maneuver Planning for Small-Body Reconnaissance via Reinforcement Learning
Robust Trajectory Control for Multitarget Tracking in Proximity Operations
Data-driven stochastic model for train delay analysis and prediction
MDP Formulation for Multi-UAVs Mission Planning with Refueling Constraints
Comparison of Monte Carlo Schemes in the Modeling of Extreme Flood in Tropical Rain Forest Basins
A Markov Decision Process Workflow for Automating Interior Design
Design and Feasibility of Electrical Version of Search-and-Rescue Helicopter Based on Eurocopter
Estimation of Extreme Value Vehicle Load Based on the Extended Burr XII Distribution
Estimation of Extreme Value Vehicle Load Based on the Extended Burr XII Distribution
A comparison between three approaches for modelling deterioration of five pavement surfaces
Probabilistic modelling of flexible pavement distresses for network management
Fault Diagnosis Method Based on Hidden Markov Model
Performance evaluation of advanced pavement materials by Bayesian Markov Mixture Hazard model
Performance evaluation of advanced pavement materials by Bayesian Markov Mixture Hazard model
A computer vision-based assistant system for the assembly of narrow cabin products
On Dynamic State-Space models for fatigue-induced structural degradation
Electric vehicle models for evaluating the security of supply
Infrastructure asset management system for bridge projects in South Korea
Infrastructure asset management system for bridge projects in South Korea
Risk-aware Path Planning for Autonomous Underwater Vehicles using Predictive Ocean Models
Terrain Mapping and Control Optimization for a 6-Wheel Rover with Passive Suspension
Optimal Path Planning of a Target Following Fixed Wing UAV Using Sequential Decision Processes
UAV Swarm Tactics: An Agent-Based Simulation and Markov Process Analysis
A stochastic approach to Dubins feedback control for target tracking
A Point-based MDP for Robust Single-Lane Autonomous Driving Behavior under Uncertainties
A Recognition Method for Lane Change Intention Based on Hidden Markov Model
Improving model-based verification of embedded systems by analyzing component dependences
Incremental learning for motion prediction of pedestrians and vehicles
Optimized Algorithms for Prediction Within Robotic Tele-Operative Interfaces
Estimation of Markovian transition probabilities for pavement deterioration forecasting
Probabilistic landmark based localization of rail vehicles in topological maps
A system estimation model of the marine diesel reliability
TiMDPpoly: An improved method for solving time-dependent MDPs