Angel Garcia

Poisson Multi-Bernoulli Mixtures for Sets of Trajectories

2025

Batch SLAM with PMBM Data Association Sampling and Graph-Based Optimization

Hybrid PHD-PMB Trajectory Smoothing Using Backward Simulation

Graph GOSPA metric: a metric to measure the discrepancy between graphs of different sizes

Markov Chain Monte Carlo Multi-Scan Data Association for Sets of Trajectories

Trajectory PMB Filters for Extended Object Tracking Using Belief Propagation

An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling

Poisson multi-Bernoulli mixture filter with general target-generated measurements and arbitrary clutter

Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering

A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birth

A Poisson multi-Bernoulli mixture filter for coexisting point and extended targets

A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms

Trajectory multi-Bernoulli filters for multi-target tracking based on sets of trajectories

Backward simulation for sets of trajectories

2020

Trajectory Poisson Multi-Bernoulli Filters

Spatiotemporal Constraints for Sets of Trajectories with Applications to PMBM Densities

A Metric on the Space of Finite Sets of Trajectories for Evaluation of Multi-Target Tracking Algorithms

Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories

Trajectory PHD and CPHD filters

Multiscan implementation of the trajectory poisson multi-Bernoulli mixture filter

An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition

Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation

Cooperative Localization Using Posterior Linearization Belief Propagation

Trajectory probability hypothesis density filter

Performance evaluation of multi-bernoulli conjugate priors for multi-target filtering

Generalized optimal sub-pattern assignment metric

2017

Iterated Posterior Linearization Smoother

2016

Long-range road geometry estimation using moving vehicles and road-side observations

2015

Posterior Linearization Filter: Principles and Implementation Using Sigma Points

2015

Gaussian MAP Filtering Using Kalman Optimization

2015

Adaptive unscented Gaussian likelihood approximation filter

2014

Bayesian Road Estimation Using Onboard Sensors

2014

Iterated statistical linear regression for Bayesian updates

2014

Road Geometry Estimation Using a Precise Clothoid Road Model and Observations of Moving Vehicles

Performance evaluation of random set based pedestrian tracking algorithms