Advanced scenario solutions

In real commercial deployment projects, the physical environment is often more complex and variable than an ideal experimental environment. Faced with ultra-large areas, all-day lighting changes, multi-level complex building structures, and highly repetitive texture scenes, a single mapping and localization strategy is often difficult to satisfy stability requirements.

Core scenario support

Based on core technologies such as multi-map fusion and multi-map-library management, the Mega platform provides a complete spatial computing solution designed to help developers build persistent and accurate AR experiences in complex physical environments. For the following typical complex scenarios, Mega provides dedicated mapping and processing strategies.

Ultra-large space

For ultra-large scenes such as tourist attractions and urban blocks with areas of hundreds of thousands or even millions of square meters, a single acquisition cannot easily cover the entire area and can easily produce accumulated errors.

Use a block acquisition and fusion strategy: plan the large scene as multiple subareas that overlap in physical space and are logically independent, acquire each subarea separately, and fuse and optimize all subareas. For the detailed solution, read: ultra-large space optimization strategy.

Multi-period fusion localization

Mega localization depends on visual features of the environment. Severe changes in lighting conditions, such as day and night, can fundamentally change the visual features of the same location and cause localization failure.

Therefore, we provide a multi-period fusion mapping strategy: collect data for the same scene under different lighting conditions, such as daytime and nighttime, and fuse all collected data in the cloud. The system automatically matches the corresponding period map data based on the current camera image features to ensure AR content can be displayed stably at any time.

For the detailed solution, read: multi-period fusion localization.