uni_slam

uni_slam is a universal multi-agent visual SLAM system that provides real-time position and orientation data to any machine. By sending camera images to the service, machines can receive accurate localization information. The system continuously updates and optimizes its SLAM data based on these images. This service aims to enable all machines around the world to easily obtain accurate position information.

Getting Started

Prerequisites

• Docker
• Docker Compose

Ensure you have both Docker and Docker Compose installed on your system.

Running the Application

To run the uni_slam application:

1. Clone this repository:

   git clone https://github.com/your-username/uni_slam.git
   cd uni_slam

2. Build and run the Docker containers:

   docker compose up -d --build

This will build the Docker images and start the necessary containers in detached mode.

Running Tests

To run the unit tests for uni_slam, you can use Docker as well:

1. Build the Docker image and start the container:

   docker compose up -d --build

2. Execute the project build script:

   docker compose exec app ./make.sh

3. Run the unit tests:

   docker compose exec app ./run_ctest.sh

4. Once you have finished testing, stop the Docker container:

   docker compose down

Current Progress

See progress for the current progress of the project.