Results 31 to 40 of about 449,739 (281)

Generation of Emergency Trajectories Based on Aircraft Trajectory Prediction

open access: yes2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), 2021
We present an automated emergency trajectory generator to compute the best emergency trajectory for a given landing site. A given emergency 2-dimensional (2D) path (i.e., route) is used as input for a trajectory predictor (TP), which computes a trajectory by taking into account the current aircraft performance and weather.
Sáez García, Raúl   +2 more
openaire   +2 more sources

A balloon trajectory prediction system [PDF]

open access: yesAdvances in Space Research, 2004
Safety requirements and the increase in balloon flight duration make a computerized balloon control system essential. Starting with a global thermodynamic model of a stratospheric balloon (NASA-SINBAD) and 48-hour wind forecast data, a flexible system can be built to predict its trajectory.
Musso I   +3 more
openaire   +5 more sources

Aircraft 4D Trajectory Prediction in Civil Aviation: A Review

open access: yesAerospace, 2022
Aircraft four dimensional (4D, including longitude, latitude, altitude and time) trajectory prediction is a key technology for existing automation systems and the basis for future trajectory-based operations.
Weili Zeng   +4 more
doaj   +1 more source

Modeling Trajectories Obtained from External Sensors for Location Prediction via NLP Approaches

open access: yesSensors, 2022
Representation learning seeks to extract useful and low-dimensional attributes from complex and high-dimensional data. Natural language processing (NLP) was used to investigate the representation learning models to extract words’ feature vectors using ...
Lívia Almada Cruz   +6 more
doaj   +1 more source

Predictability of imitative learning trajectories [PDF]

open access: yesJournal of Statistical Mechanics: Theory and Experiment, 2019
The fitness landscape metaphor plays a central role on the modeling of optimizing principles in many research fields, ranging from evolutionary biology, where it was first introduced, to management research. Here we consider the ensemble of trajectories of the imitative learning search, in which agents exchange information on their fitness and imitate ...
Campos, Paulo R. A., Fontanari, José F.
openaire   +3 more sources

Vehicle Location Prediction Based on Spatiotemporal Feature Transformation and Hybrid LSTM Neural Network

open access: yesInformation, 2020
Location prediction has attracted much attention due to its important role in many location-based services. The existing location prediction methods have large trajectory information loss and low prediction accuracy.
Yuelei Xiao, Qing Nian
doaj   +1 more source

Multiple Future Prediction Leveraging Synthetic Trajectories [PDF]

open access: yes2020 25th International Conference on Pattern Recognition (ICPR), 2021
Trajectory prediction is an important task, especially in autonomous driving. The ability to forecast the position of other moving agents can yield to an effective planning, ensuring safety for the autonomous vehicle as well for the observed entities.
Berlincioni L.   +3 more
openaire   +4 more sources

Key problems and progress of pedestrian trajectory prediction methods: the state of the art and prospects

open access: yes智能科学与技术学报, 2023
Pedestrian trajectory prediction aims to use observed human historical trajectories and surrounding environmental information to predict the future position of the target pedestrian, which has important application value in reducing collision risks for ...
Quancheng DU   +3 more
doaj  

Multi-features taxi destination prediction with frequency domain processing. [PDF]

open access: yesPLoS ONE, 2018
The traditional taxi prediction methods model the taxi trajectory as a sequence of spatial points. It cannot represent two-dimensional spatial relationships between trajectory points.
Lei Zhang   +3 more
doaj   +1 more source

A federated pedestrian trajectory prediction model with data privacy protection

open access: yesComplex & Intelligent Systems, 2023
Pedestrian trajectory prediction is essential for self-driving vehicles, social robots, and intelligent monitoring applications. Diverse trajectory data is critical for high-accuracy trajectory prediction.
Rongrong Ni   +4 more
doaj   +1 more source

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