Advanced scenario solutions

In real-world commercial deployment projects, the physical environment is often more complex and variable than ideal experimental conditions. Facing ultra-large-scale areas, all-day lighting changes, multi-layered complex building structures, and highly repetitive texture scenes, a single mapping and localization strategy often struggles to meet stability requirements.

Core scenario support

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

Large-scale spaces

For ultra-large scenes such as tourist attractions or urban blocks spanning hundreds of thousands or even millions of square meters, single-pass collection struggles to achieve full coverage and is prone to cumulative errors.

Adopt a block-based collection and fusion strategy: divide the large scene into multiple sub-regions that overlap physically and are logically independent, collect each sub-region separately, and fuse all sub-regions for optimization. For detailed solutions, read: Large-space optimization strategy.

Multi-period fusion localization

Mega localization relies on environmental visual features. Drastic changes in lighting conditions, such as daytime and nighttime, can fundamentally alter the visual features of the same location, leading to localization failure.

Therefore, we provide a multi-period fusion mapping strategy: collect data for the same scene under different lighting conditions (e.g., daytime and nighttime) and fuse all collected data in the cloud. The system automatically matches the corresponding period's map data based on the current camera image features, ensuring stable AR content display at any time.

For detailed solutions, read: Multi-period fusion localization.