SLAM Hive Wiki

SLAM-Hive system provides meta analysis function named “Custom Analysis”.

You can use the historical results in database to do comprehensive analysis.

In the system, we first provide some pre-created analysis results, and you can browse them.

Note: You can also create the custom analysis task in our “view-only” version, but the result will be not shown at the “Group List”. Instead, when the task finishes, the system will return you the task ID, and you can

The “Mapping Task List” shows all the created mapping run tasks.

You can click “Show Detail” button to see the details of the result. Details: mapping task result detail wiki.

You can also see the mapping tasks' state (Running or Finished or Failed).

You can use our “Search Engine” (shown as a search box) to search your required mapping tasks conveniently.

The system provides multiple search conditions:

1. Algorithms Selection (If no limitation for algorithm, select “All”).
2. Datasets Selection (If no limitation for algorithm, select “All”).
3. Parameter Selection: input a set of constraints on the parameters (The rules are similar to the “SQL”).

For example:

nFeatures >=2000
nLevels = 8
...

In this page, you can create the evaluation in various methods.

Now we provide “evo” methods to evaluation the trajectory.

You can click the “Create” (in Mapping Task List) to create a evaluation task.

See Evaluation wiki for more details.

We provide “Batch Create Evaluation Task” for you to create evaluation tasks in batches. You can input the IDs of mapping tasks and then click the button, then the evaluation tasks will run.

You can also compared these trajectories in same charts. We provide “Create Multiple Evaluation Task” for you to create compared evaluation task. You can input the IDs of mapping tasks and then click the button, then the evaluation tasks will run.