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Implementation of vision algorithm for SRV-1 mobile robot

The latest research in the field of autonomous robotics is focused on the development of novel principles and approaches to address the process of adaptation and evolution in multi-robotic systems. To achieve the task, every individual robot is required to have the ability to interact with the environment, with other robots and to keep on localizing itself. In this research, an vision based obstacle avoidance approach, to provide the concrete base for localizing the individual robots in multi-robotic environment, is addressed. The development of this vision algorithm is based on the library of basic vision algorithms which is developed in this research for the vision system based on Blackfin BF537 processor. The computer vision system is also, useful in several applications of autonomous vehicles, such as map generation, obstacle avoidance tasks, positioning tasks and target tracking. Furthermore, computer vision can provide a significant gain in reliability, versatility and accuracy of robotic tasks, which are important concerns in most applications.