The grid-centric perception is a crucial field for mobile robot perception and navigation.
Nonetheless, the grid-centric perception is less prevalent than object-centric perception as …

Numerous methods have been developed for ship collision prevention over the past
decades. However, most studies are based on strong assumptions, such as the need for a …

Working with mobile robots, prior to execute the local planning stage, they must know the
environment where they are moving. For that reason the perception and map** stages …

The article deals with the analysis and interpretation of dynamic scenes typical of urban
driving. The key objective is to assess risks of collision for the ego-vehicle. We describe our …

Grid map** is a well-established approach for environment perception in robotic and
automotive applications. Early work suggests estimating the occupancy state of each grid …

Most of present work for autonomous navigation in dynamic environment doesn't take into
account the dynamics of the obstacles or the limits of the perception system. To face these …

Modeling and tracking the driving environment is a complex problem due to the
heterogeneous nature of the real world. In many situations, modeling the obstacles and the …

Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …

With the increasing size of ships and increasing demand for autonomous navigation,
ensuring ship safety is not the only concern; the efficiency of anti-collision technology should …

Modeling and estimating the current local environment by processing sensor measurement
data is essential for intelligent vehicles. Static obstacles, dynamic objects, and free space …