Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach

Bayesian neural networks for flight trajectory prediction and safety assessment

(2020) Xiaoge Zhang et al.   DECISION SUPPORT SYSTEMS

Aircraft dynamics simulation using a novel physics-based learning method

(2019) Yang Yu et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Big Data Analytics in Intelligent Transportation Systems: A Survey

(2018) Li Zhu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Variational Inference: A Review for Statisticians

(2017) David M. Blei et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Multimodal Deep Autoencoder for Human Pose Recovery

(2015) Chaoqun Hong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A Self-Adaptive Parameter Selection Trajectory Prediction Approach via Hidden Markov Models

(2015) Shaojie Qiao et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Automated Aircraft Trajectory Prediction Based on Formal Intent-Related Language Processing

(2013) Juan A. Besada et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Probabilistic Trajectory Prediction and Conflict Detection for Air Traffic Control

(2012) Weiyi Liu et al.   JOURNAL OF GUIDANCE CONTROL AND DYNAMICS

Data-Driven Intelligent Transportation Systems: A Survey

(2011) Junping Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Automated conflict resolution, arrival management, and weather avoidance for air traffic management

(2011) H Erzberger et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING

Sequential Monte Carlo methods for multi-aircraft trajectory prediction in air traffic management

(2010) I. Lymperopoulos et al.   INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING

Bayesian neural network approach to short time load forecasting

(2007) Philippe Lauret et al.   ENERGY CONVERSION AND MANAGEMENT