Skip to content

The SLAMBench Use Case

Jump to bottom
Luigi Nardi edited this page Dec 20, 2019 · 1 revision

Install SLAMBench 1.0

  • Download and extract the archive :
wget http://apt.cs.manchester.ac.uk/projects/PAMELA/tools/artifact.tgz
tar xzf artifact.tgz && cd artifact

SLAMBench and the dataset we used are available online. The artifact Makefile includes commands to install them.

  • Compile SLAMBench:
make slambench # download the archive
cd slambench && make && cd ..
  • Prepare the dataset (2GB):
make living_room_traj2_loop.raw
make livingRoom2.gt.freiburg

This document is incomplete, TBD.

Getting Started

Quick Start Guide

Jupyter Notebook Demo

Newbie Guide

Overview

Home

Install HyperMapper

Input Parameter Types

Design of Experiment

Optimization Methods

Json Parameters File

Prior Injection

Parameter Importance

Resume Optimization

Parallel Function Evaluations

Publications

New pip Functionalities

Print Best Point

Scripts

Compute Pareto

Plots

Plot Optimization Results

Plot Pareto

Plot HVI

Examples

Branin

Prior Injection

CurrinExp Prior

Parameter Types

Branin4

CurrinExp

Multiple Objectives

Multi‐objective Branin

Ordinal Multi‐objective Branin

DTLZ1

Constrained Spaces

Chakong‐Haimes

Client-Server Mode

Client‐Server Chakong‐Haimes

Parallel Function Evaluations

Batch Branin

Focus on Portion of the Pareto

Bounding the Multi‐objective Branin Function

Use Cases

The Spatial Use Case

The SLAMBench Use Case

Other

Client‐Server Mode

Exhaustive Mode

Clone this wiki locally