Ratings & Reviews performance provides an overview of what users think of your app. Here are the key metrics to help you identify how your app is rated by users and how successful is your review management strategy.
RTAB-Map (Real-Time Appearance-Based Mapping) is an Open Source RGB-D Graph-Based SLAM approach based on an incremental appearance-based loop closure detector. The loop closure detector uses a bag-of-words approach to determinate how likely a new image comes from a previous location or a new location. When a loop closure hypothesis is accepted, a new constraint is added to the map's graph, then a graph optimizer minimizes the errors in the map. An optional memory management approach can be used to limit the number of locations used for loop closure detection and graph optimization, so that real-time constraints on large-scale environnements are always respected. *** 3D reconstruction available only with LiDAR sensor Features: * Online 3D scanning/mapping of the environment * Online loop closure detection and map correction * Save in DB format (RTAB-Map desktop format) * Export in PLY or OBJ * Multi-session mapping (save and continue later) * Use Apriltags to help find loop closures in textureless environments * Mixed AR/VR First-Person in visualization mode
