Abstract: This paper proposes a novel approach to detect road intersections from GNSS traces. Different from the existing methods of detecting intersections directly from the road users’ turning behaviors, the proposed method detects intersections indirectly from common sub-tracks shared by different traces. We first compute the local distance matrix for each pair of traces. Second, we apply im...

The cutting force spectrum of the CNC lathe is basic data for reliability design, test, and evaluation its components. Due to complex changeable turning conditions different processes, load presents multi-peak characteristics. At same time, grouping counted cycles when parameter modeling will produce certain errors. As a result, distribution model cannot meet requirements. Thus, compilation met...

Object detection with shadow removal is one of the challenging issues in computer vision. Dynamic resembles a moving object’s properties, so separating this from object task. This dynamic if not eliminated distorts shape object. In paper, novel scheme for and proposed based on background modeling fused feature space these models learn to take care scene dynamics. Initially, KDE space, temporal ...

We consider the problem of population density estimation based on location data crowdsourced from mobile devices, using kernel (KDE). In a conventional, centralized setting, KDE requires users to upload their server, thus raising privacy concerns. Here, we propose Federated framework for estimating user density, which not only keeps devices but also provides probabilistic guarantees against mal...