Felipe Inostroza

Affiliation

Dept. of Electrical Engineering, Universidad de Chile, Santiago, Chile

Topic

Simultaneous Localization And Mapping,Detection Probability,Random Vector,Robot Trajectory,Trajectory Estimation,Bayesian Filtering,Conditional Probability Density Function,Error Map,Estimation Problem,Field Of View,Gaussian Noise,Importance Weights,Map Elements,Mapping Problem,Navigation Problem,Nonlinear Least Squares,Number Of Landmarks,Optimal Assignment,Particle Weight,Position Error,Posterior Mode,Random Finite Set,Spatial Error,Target Tracking,Vehicle Trajectory,2D Simulations,Association Mapping,Bayesian Estimation,Benchmark For Comparison,Continuous Work,Control Input,Current Function,Density Map,Distinct Labels,Divergence Estimates,Elements In Order,Empty Set,Error Detection,Error Metrics,Estimate Of The Number,Evaluation Of Maps,False Alarm,Feature Maps,Filtering Approach,Filtration Performance,Finite Set,Gibbs Sampling,Ground Truth Map,Ground Truth Trajectory,Hausdorff Distance,

Biography

Felipe Inostroza (S’11) received the degree in engineering science and the Master's degree in electrical engineering from Universidad de Chile, Santiago, Chile, in 2013 and 2015, respectively. He is currently working toward the doctoral degree in the Department of Electrical Engineering, Universidad de Chile. His research interests include robotics in general, and simultaneous localization and mapping (SLAM) in particular. He is currently studying the effects of including detection statistics into the SLAM problem.