Advanced scenario solutions

In practical commercial implementation projects, the physical environment is often more complex and variable than ideal experimental conditions. Faced with ultra-large-scale areas, all-weather lighting variations, 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 like multi-map fusion and multi-map database management, provides a comprehensive 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.

Ultra-large spaces

For scenarios such as tourist attractions and urban blocks spanning hundreds of thousands or even millions of square meters, single-session data capture struggles to achieve full coverage and is prone to cumulative errors.

We adopt a block-based capture and fusion strategy: divide large scenes into multiple physically overlapping yet logically independent sub-areas. Capture each sub-area separately, then fuse and optimize all sub-areas. Detailed solutions can be found at: Ultra-large Space Optimization Strategy.

Multi-period fusion localization

Mega localization relies on environmental visual features. Dramatic changes in lighting conditions (e.g., daytime vs. nighttime) fundamentally alter visual features at the same location, leading to localization failures.

Therefore, we provide a multi-period fusion mapping strategy: capture data under different lighting conditions (e.g., day and night) for the same scene, then fuse all captured data in the cloud. The system automatically matches map data from corresponding periods based on current camera feed features, ensuring stable AR content display at any time.

Detailed solutions can be found at: Multi-period Fusion Localization.