Name
Generation of geometric & semantic map (3D) from previously recorded data
Description
This component serves to create a 3D model of the environment from previously recorded sensor data (bag files). This includes both geometric and semantic representations of the environment, enabling subsequent tasks such as navigation.
Key Features:
- Creates a metric-semantic 3D model of the environment
- Supports heterogeneous sensor data
- Robust to different sensor setups
- Configurable via YAML parameter files
Type
Tool
Layer
Service
HRL
- 2.3 Autonomous navigation
- 2.6 Context & safety awareness
- 2.7 Semantic map generation
Partners
Pilot
This component builds metric-semantic maps of the environment from raw sensory data. These maps can later be used for subsequent tasks, such as navigation and obstacle avoidance. It is a crucial part of the system that is responsible for understanding the space observed by the agent.
