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Three-dimensional laser range finders provide autonomous systems with vast amounts of information. However, autonomous robots navigating in unstructured environments are usually not interested in every geometric detail of their surroundings. Instead, they require real-time information about the location of obstacles and the condition of drivable areas.In this paper, we first present grid-based algorithms...
The main task of rescue robots is to locate victims after a disaster such as an earthquake. For this task sensor data is used to localize the robots in their environment, build maps, and mark the victims in the maps. Usually, thermal and color cameras, monitored by a human operator, are used for the detection. Hyperspectral imaging techniques are today used for industrial tasks such as quality control,...
The tasks of autonomous rescue robots operating in unknown environments are manifold. Self localization, map generation and the detection of possible victims are indespensable. Apart from these, other factors can become crucial for the survival of the involved persons and for the safe operation of the robot itself. A first step in autonomously detecting such dangers is the real-time recognition of...
Autonomous robots in rescue environments have to fulfill several task at the same time: They have to localize themselves, build maps, detect victims and decide where to go next for further exploration. In this contribution we present an approach that provides a robust solution for the exploration task: Based on the knowledge of the environment that the robot has already acquired, the algorithm calculates...
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