Lambda-Field: A Continuous Counterpart of the Bayesian Occupancy Grid for Risk Assessment

This is the presentation video of the Lambda-Field, a map conceived to allow probabilities of collision along a path. The paper is available at https://www.researchgate.net/publication/331565267_Lambda-Field_A_Continuous_Counterpart_of_the_Bayesian_Occupancy_Grid_for_Risk_Assessment Abstract: In a context of autonomous robots, one of the most important tasks is to ensure the safety of the robot and its surrounding. The risk of navigation is usually said to be the probability of collision. This notion of risk is not well defined in the literature, especially when dealing with occupancy grids. The Bayesian occupancy grid is the most used method to deal with complex environments. However, this is not fitted to compute the risk along a path by its discrete nature. In this article, we present a new way to store the occupancy of the environment that allows the computation of risk along a given path. We then define the risk as the force of collision that would occur for a given obstacle. Using this framework, we are able to generate navigation paths ensuring the safety of the robot.

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