A simulation environment for the coordinated operation of multiple autonomous underwater vehicles
Proceedings of the 29th conference on Winter simulation
Three D-Dynamic Scene Analysis: A Stereo Based Approach
Three D-Dynamic Scene Analysis: A Stereo Based Approach
Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
IEEE Transactions on Pattern Analysis and Machine Intelligence
Underwater 3D Mapping: Experiences and Lessons learned
CRV '06 Proceedings of the The 3rd Canadian Conference on Computer and Robot Vision
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Development of a graphical simulation complex for studying motion control methods for autonomous underwater vehicles is discussed. Its structure and functioning scheme are presented. An approach to solving navigation problem and to 3D reconstruction of underwater environment from a given sequence of digital images is described. It is based on the use of an extended Kalman filter and original algorithm of dense 3D recovery of the environment points. Results of computational experiments and estimates of the efficiency of the approach are presented.