Markerless AR Tracking

Understands markerless AR tracking principles (SLAM, visual-inertial odometry). Uses plane detection for placing objects on surfaces. Works with face tracking for basic AR filters.

Uses ARFoundation for markerless tracking: plane detection, point clouds. Configures ARPlaneManager and ARPointCloudManager. Works with world tracking for content placement.

Implements world tracking with persistent anchors for stable AR positioning. Works with body tracking and hand tracking via ARKit/ARCore. Configures SLAM parameters for optimal tracking under various lighting conditions.

Implements advanced tracking in Unity: body tracking (ARHumanBodyManager), face mesh (ARFaceManager), environment mapping. Works with persistent world map for saving AR sessions. Configures scene reconstruction.

Deeply understands SLAM and visual-inertial navigation algorithms. Implements custom tracking solutions for specific scenarios. Integrates LiDAR data for mesh reconstruction. Develops multi-anchor systems for large-scale AR scenes.

Integrates advanced SLAM capabilities through native APIs. Implements mesh classification for scene understanding. Develops custom tracking algorithms for specific scenarios. Optimizes tracking quality.

Designs the tracking strategy for AR products. Coordinates development of custom tracking solutions. Defines tracking requirements for various use cases. Establishes AR tracking quality metrics.

Defines tracking strategy for AR product on Unity. Establishes tracking quality metrics. Coordinates development of tracking-dependent features. Plans support for various tracking scenarios.

Defines the company's AR tracking technology strategy. Evaluates emerging technologies (Gaussian Splatting, neural SLAM). Influences AR standards development in the industry.

Shapes markerless tracking vision for AR platform. Evaluates emerging technologies (neural SLAM, Gaussian Splatting). Defines tracking requirements for new products.