Christophe Debain — accepted AI-conference papers

2021

Dynamic Lambda-Field: A Counterpart of the Bayesian Occupancy Grid for Risk Assessment in Dynamic Environments

Johann Laconte, Elie Randriamiarintsoa, Abderrahim Kasmi, François Pomerleau, Roland Chapuis, Christophe Debain +1

IROS 2021poster

In the context of autonomous vehicles, one of the most crucial tasks is to estimate the risk of the undertaken action. While navigating in complex urban environments, the Bayesian occupancy grid is one of the most popular types of maps, where the information of occupancy is stored as the probability…

Cited by 7 Source ↗Scholar ↗

2019

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

Johann Laconte, Christophe Debain, Roland Chapuis, François Pomerleau, Romuald Aufrère

IROS 2019poster

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 gr…

Cited by 16 Source ↗Scholar ↗