Open Access

Appearance-based odometry and mapping with feature descriptors for underwater robots

  • Silvia Silva da Costa Botelho1,
  • Paulo Lilles Jorge Drews Junior2,
  • Mônica da Silva Figueiredo1,
  • Celina Haffele Da Rocha1 and
  • Gabriel Leivas Oliveira1
Journal of the Brazilian Computer Society15:BF03194505

Received: 7 July 2009

Accepted: 27 August 2009


The use of Autonomous Underwater Vehicles (AUVs) for underwater tasks is a promising robotic field. These robots can carry visual inspection cameras. Besides serving the activities of inspection and mapping, the captured images can also be used to aid navigation and localization of the robots. Visual odometry is the process of determining the position and orientation of a robot by analyzing the associated camera images. It has been used in a wide variety of non-standard locomotion robotic methods. In this context, this paper proposes an approach to visual odometry and mapping of underwater vehicles. Supposing the use of inspection cameras, this proposal is composed of two stages: i) the use of computer vision for visual odometry, extracting landmarks in underwater image sequences and ii) the development of topological maps for localization and navigation. The integration of such systems will allow visual odometry, localization and mapping of the environment. A set of tests with real robots was accomplished, regarding online and performance issues. The results reveals an accuracy and robust approach to several underwater conditions, as illumination and noise, leading to a promissory and original visual odometry and mapping technique.


RoboticsComputer VisionUnderwater VehiclesTopological MapsSelf-localization and mapping