Wearable sensors for remote health monitoring
Life expectancy in most countries has been increasing continually over the several few
decades thanks to significant improvements in medicine, public health, as well as personal …
decades thanks to significant improvements in medicine, public health, as well as personal …
Deep learning sensor fusion for autonomous vehicle perception and localization: A review
Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …
Rank-normalization, folding, and localization: An improved R ̂ for assessing convergence of MCMC (with discussion)
Abstract Markov chain Monte Carlo is a key computational tool in Bayesian statistics, but it
can be challenging to monitor the convergence of an iterative stochastic algorithm. In this …
can be challenging to monitor the convergence of an iterative stochastic algorithm. In this …
A survey of autonomous vehicles: Enabling communication technologies and challenges
The Department of Transport in the United Kingdom recorded 25,080 motor vehicle fatalities
in 2019. This situation stresses the need for an intelligent transport system (ITS) that …
in 2019. This situation stresses the need for an intelligent transport system (ITS) that …
Simultaneous localization and map**: A survey of current trends in autonomous driving
In this paper, we propose a survey of the Simultaneous Localization And Map** (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …
field when considering the recent evolution of autonomous driving. The growing interest …
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
Increasingly, for many application areas, it is becoming important to include elements of
nonlinearity and non-Gaussianity in order to model accurately the underlying dynamics of a …
nonlinearity and non-Gaussianity in order to model accurately the underlying dynamics of a …
A review of visual SLAM methods for autonomous driving vehicles
Autonomous driving vehicles require both a precise localization and map** solution in
different driving environment. In this context, Simultaneous Localization and Map** …
different driving environment. In this context, Simultaneous Localization and Map** …
Multimodal trajectory predictions for autonomous driving using deep convolutional networks
Autonomous driving presents one of the largest problems that the robotics and artificial
intelligence communities are facing at the moment, both in terms of difficulty and potential …
intelligence communities are facing at the moment, both in terms of difficulty and potential …
KalmanNet: Neural network aided Kalman filtering for partially known dynamics
State estimation of dynamical systems in real-time is a fundamental task in signal
processing. For systems that are well-represented by a fully known linear Gaussian state …
processing. For systems that are well-represented by a fully known linear Gaussian state …
A tutorial on terahertz-band localization for 6G communication systems
Terahertz (THz) communications are celebrated as key enablers for converged localization
and sensing in future sixth-generation (6G) wireless communication systems and beyond …
and sensing in future sixth-generation (6G) wireless communication systems and beyond …