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Found 8 papers, 5 papers with code
Towards In-Vehicle Multi-Task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Models
In the burgeoning field of intelligent transportation systems, enhancing vehicle-driver interaction through facial attribute recognition, such as facial expression, eye gaze, age, etc., is of paramount importance for safety, personalization, and overall user experience.
Multi-UAV Planning for Cooperative Wildfire Coverage and Tracking with Quality-of-Service Guarantees
Our approach enables UAVs to infer the latent fire propagation dynamics for time-extended coordination in safety-critical conditions.
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming
Information sharing is key in building team cognition and enables coordination and cooperation.
FireCommander: An Interactive, Probabilistic Multi-agent Environment for Heterogeneous Robot Teams
The FireCommander environment can be useful for research topics spanning a wide range of applications from Reinforcement Learning (RL) and Learning from Demonstration (LfD), to Coordination, Psychology, Human-Robot Interaction (HRI) and Teaming.
Coordinated Control of UAVs for Human-Centered Active Sensing of Wildfires
Fighting wildfires is a precarious task, imperiling the lives of engaging firefighters and those who reside in the fire's path.
Essential Motor Cortex Signal Processing: an ERP and functional connectivity MATLAB toolbox -- user guide version 2.0
The toolbox implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification.
Signal Processing Computational Engineering, Finance, and Science Image and Video Processing Neurons and Cognition Quantitative Methods
Safe Coordination of Human-Robot Firefighting Teams
Wildfires are destructive and inflict massive, irreversible harm to victims' lives and natural resources.
Cerebral Signal Instantaneous Parameters Estimation MATLAB Toolbox - User Guide Version 2.3
This document is meant to help individuals use the Cerebral Signal Phase Analysis toolbox which implements different methods for estimating the instantaneous phase and frequency of a signal and calculating some related popular quantities. The toolbox -- which is distributed under the terms of the GNU GENERAL PUBLIC LICENSE as a set of MATLAB routines -- can be downloaded at the address http://oset. ir/category. php? dir=Tools. The purpose of this toolbox is to calculate the instantaneous phase and frequency sequences of cerebral signals (EEG, MEG, etc.)
