… The resulting occupancy predictions are restrictive to motion planning, and cause unwanted
… We detail how tracking occlusion motion can be used to restrict the position interval, and …

… is used, where each position stores the information of occupancy. The most common type
of metric map is the Bayesian occupancy map. However, this type of map is not well suited for …

… An occupancy grid can directly serve as such a cost map, as a single cell represents the
probability for it to be occupied, which can easily be mapped to cost values, so that a …

… To quantify the local occupancy maps’ accuracy, we compare the predicted maps to the
ground truth. We report the Intersection over Union (IoU) and F1 scores for the “free” and “…

… probabilistic mapping is integrated with a stochastic motion planning scheme to minimize
the map uncertainties in an optimal fashion. We utilize the popular occupancy grid mapping …

… Our preliminary work [28] develops a kernel perceptron model for online occupancy mapping.
The … To enable motion planning in the new occupancy representation, we develop efficient …

… Occupancy maps define obstacles in a crude binary sense (see Figure 2), which overly
simplifies the complex interactions between the robot and the environment. For instance, …

… Furthermore, we combined the motion planning corridor with the Informed-RRT* algorithm
to propose a space-heuristic path planning algorithm named CI-RRT*. By integrating the …

… such occupancy models. However, few considerations have been given to processing occupancy
maps … techniques over 2-D probabilistic occupancy maps that are encoded as textured …

… motion planning by creating and relaxing one unified constraint using the occupancy grid
map. An … In this letter, we investigate whether occupancy grid maps can be used directly for …