… in this paper is 1) the Predictive Occupancy Map (POM), which can … 3) A local motion planning
algorithm that generates an … In section III, a predictive occupancy map design method is …

… a new planning paradigm using occupancy maps. … motion planning using Hilbert maps.
First, we describe the building blocks of our planner, Hilbert maps and functional gradient motion …

… that combines map prediction and motion planning for safe, time-… We propose a data-driven
method for predicting the map of … Burlina, and GD Hager, “Uncertainty-aware occupancy map …

… The presented work in this paper was primarily motivated by [12], where the authors applied
the predictive occupancy map as a motion planning approach for avoiding crashes on road. …

… The main goal of our system is to provide a navigable 3D occupancy map with a defined
notion of observed free space in small to large scale scenarios, using adaptive resolution to …

… motion planners, our motion planning costs are consistent with our perception and prediction
estimates. This is achieved by a novel differentiable semantic occupancy … occupancy maps. …

… inaccuracies in motion planning when map data is used, a … , a probabilistic occupancy grid
approach for motion planning … from maps and perception systems on the occupancy grid. …

… motion planning it is usually necessary to define some representation of the environment and
have some method of determining the robot’s location in that environment. Mapping is … map …

… For certain application such as motion planning, it is necessary to assign a specific state
to each voxel of the occupancy map. An optimal estimate of the state of a voxel is given by an …

… , of the motion plan. Thus SLAM is a starting point upon which our approach builds, the maps
of … Given the possibility of error in the occupancy grid, the planner predicts the true state of a …