Table of Contents

Creating large-scale fusion tasks

This article details the complete workflow for large-scale multi-image fusion tasks, including task creation, data preparation, data upload, mapping operations, and result viewing, ensuring users can efficiently complete mapping requirements for complex scenarios.

The large-scale multi-image fusion feature requires business consultation for activation. We will review based on project requirements and environmental space, and unlock fusion mapping permissions after approval. With permissions, you can manually create multi-image fusion tasks in mapping tasks.

Create multi-image fusion task

After completing Create Project, follow these steps to create a multi-image fusion task:

  1. Click Manage to enter the mapping task management interface.
  2. Click the Panoramic Camera Acquisition Task button in the upper right corner.
  3. Fill in task information in the pop-up dialog:
    • Task name: Enter a custom task name
    • Mapping type: Select Multi-image fusion (requires multi-image fusion mapping permissions)
    • Mapping version and data format: Recommended to use the latest version
  4. Click Confirm Add to complete creation.

Create multi-image fusion task

Note

The large-scale multi-image fusion feature requires contacting business to activate permissions. After approval, you can create multi-image fusion tasks in mapping tasks.

Add sub-mapping

After creating the multi-image fusion task, add sub-mapping tasks for each independent acquisition area.

  1. Click Multi-image Fusion Management to enter the corresponding multi-image fusion management interface.
    Multi-image fusion task management

  2. Click Add Sub-mapping, enter the task name and click Confirm to create a sub-map. Note that each independent acquisition area requires a separate sub-mapping task.
    Create sub-map

Data preparation

Before starting the mapping task, ensure collected spatial data meets requirements and is organized/stored according to specifications. Preparation standards are consistent with single-map tasks, differing only in acquisition methods.

Data acquisition and export

Use panoramic cameras to collect spatial data. Refer to:

Other data specifications

Upload data

Upload rules are identical to single-map tasks. Upload data under corresponding tasks. Reference: Single-map task data upload.

Multi-image upload data

Start multi-image mapping

After all task data is uploaded, click Auto-associate mapping or Manually associate mapping to start mapping. Be patient as multi-image fusion tasks take longer. Contact business if not completed after extended time.

Auto-associate mapping

  • Suitable for most scenarios.

Manually associate mapping

  • Used when mapping results don't meet expectations.

  • Steps to manually specify multi-image acquisition relationships:

    1. Arrange sub-task blocks according to actual relative positions of acquisition areas

      Manually specify multi-image acquisition relationships

    2. Create connections between sub-tasks
      Principle: Add connections when sub-task acquisition data overlaps.
      Steps:

      • Click one sub-task, then click another sub-task to connect.
      • Error handling: Click connection line to turn it red, then click Delete Connection to remove.
      • Delete all connections: Click Clear Relationships in upper right.
      • Temporary save: Click Save in upper right to continue later.
        Manually specify multi-image acquisition relationships
    3. For cross-floor scenarios, enable multi-floor mode to assign floor information:
      a. Check Enable multi-floor mode.
      b. Click Assign Floor in each sub-map box to add floor information.
      Manually specify multi-image acquisition relationships

    4. Verify all sub-task connections are correct, then click Start Mapping with Specified Relationships.

Auxiliary functions

The following functions help better manage and operate mapping tasks:

View uploaded files

Check completeness of uploaded mapping files to avoid failures.

  1. Click Multi-image Fusion Management > View Uploaded Files to see file lists for corresponding sub-maps.
    View uploaded files

  2. Click specific LRV File to preview video content online.
    View uploaded files

Upload EIF

EIF data is used for remote debugging and simulated positioning in Mega. For detailed collection methods, refer to EIF Data Collection Guide.

Upload EIF steps:

  1. Click Multi-image Fusion Management > Upload EIF for corresponding sub-map.
    Upload EIF
  2. Select EIF data directory folder, click Confirm Upload.
    Upload EIF

View uploaded data:
After upload, click View Uploaded Files to see EIF files, supporting Download and Delete.
View uploaded EIF data

Stop mapping

If incorrect data is uploaded or trajectory data doesn't match reality before completion, click Stop Mapping > Confirm in pop-up.

Stop mapping

Delete task

If mapping fails or is no longer needed, click Delete Task > Delete in confirmation pop-up.

Delete task

Confirm mapping results

After mapping starts, check Task Status for completion. Statuses Task Completed, Unsatisfactory Result or Generation Failed indicate task ended.

Mapping task completed

Successful mapping

Status Task Completed or Unsatisfactory Result indicates success. Results display in multi-image fusion management interface.

Result explanations:

  • Task Completed: Mapping finished and fusion successful, generating one complete Mega Block.

  • Unsatisfactory Result: Mapping finished but fusion poor, generating multiple Mega Blocks.
    Unsatisfactory mapping result

    For Unsatisfactory Result, check:

    • Acquisition route compliance: Ensure routes meet specifications with sufficient overlap between sub-maps. (Reference: Acquisition specifications)
    • File upload completeness: Confirm all files uploaded without omission. (Reference: Preview uploaded files)
    • Area coverage: Verify all required areas covered without missed collections. (Reference: Review acquisition route)
    • Manual association accuracy: If manually associated, ensure sub-map relationships specified correctly. (Reference: Manual association mapping)
      If issues found, recreate task after correction. If all checks pass, contact support.

View mapping results:

Mapping failure

Status Generation Failed indicates failure. Troubleshoot: