FAST-LIO, Then Bayesian ICP, Then GTSFM

10/01/2022
by   Jerred Chen, et al.
0

For the Hilti Challenge 2022, we created two systems, one building upon the other. The first system is FL2BIPS which utilizes the iEKF algorithm FAST-LIO2 and Bayesian ICP PoseSLAM, whereas the second system is GTSFM, a structure from motion pipeline with factor graph backend optimization powered by GTSAM

READ FULL TEXT

page 2

page 4

research
08/20/2019

A Noise-Robust Fast Sparse Bayesian Learning Model

This paper utilizes the hierarchical model structure from the Bayesian L...
research
11/22/2016

Limbo: A Fast and Flexible Library for Bayesian Optimization

Limbo is an open-source C++11 library for Bayesian optimization which is...
research
12/16/2021

BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters

Current auto-tuning frameworks struggle with tuning computer systems con...
research
03/07/2022

MS2MP: A Min-Sum Message Passing Algorithm for Motion Planning

Gaussian Process (GP) formulation of continuoustime trajectory offers a ...
research
06/27/2012

Advances in exact Bayesian structure discovery in Bayesian networks

We consider a Bayesian method for learning the Bayesian network structur...
research
02/24/2020

Superoptimization of WebAssembly Bytecode

Motivated by the fast adoption of WebAssembly, we propose the first func...
research
08/30/2018

Bayesian Outdoor Defect Detection

We introduce a Bayesian defect detector to facilitate the defect detecti...

Please sign up or login with your details

Forgot password? Click here to reset