Abstract: The application of mobile mapping systems (MMS) has increased continuously in the last decades in fields like infrastructure or ecosystem monitoring. Equipped with multiple laser scanners ...

Abstract: For trajectory estimation of moving emitters, we propose a one-step method based on widely distributed stations. Benefiting from the distributed multistation geometry, the proposed method ...

The MonoForce pipeline consists of the Terrain Encoder and the Physics Engine. Given input RGB images and cameras calibration the Terrain Encoder predicts terrain properties. Then the differentiable ...

We propose an approach for joint trajectory analysis of multiple single-cell sequencing data, combining Bayesian hierarchical models with variational autoencoders. Based on a coherent statistical ...

We propose a deep learning-based vehicle pose estimation method based on a monocular camera called FPN PoseEstimateNet. The FPN PoseEstimateNet consists of a feature extractor and a pose calculate ...

Density estimation is among the most fundamental problems in statistics. It is notoriously difficult to estimate the density of high-dimensional data due to the “curse of dimensionality.” Here, we ...