In our experiments, we evaluate the proposed fusion scheme on both depth estimation and 2D object detection problems. The quantitative and qualitative results compare favourably to the state-of-the …

By integrating Sentinel-1 SAR imagery, optical snow cover observations, and topographic, forest cover and snow class information, our machine learning retrieval method more accurately estimates snow …

Oct 29, 2025 · The CSDS In-Depth Paper series provide critical analysis on a range of geopolitical, geoeconomic and security issues. The editor of the In-Depth Papers is Daniel Fiott.

This work was supported in part by the Belgian Flemish Research Council and the Chinese Ministry of Science and Technology bilateral cooperation under Project G.0524.13. This paper was …

With the use of lightweight SmartSolo® nodes we pursue efficient surveys in time and weight and can identify the depth to bedrock under the Cenozoic sediments in Brussels with high accuracy.

Research goal: DNN workloads can be scheduled onto DNN accelerators in many different ways: from layer-by-layer scheduling to cross-layer depth-first scheduling (a.k.a. layer fusion, or cascaded …

The sparse radar point-cloud and vision data is transformed to robust and reliable depth maps and fused in a multi-scale detection network for further exploiting the complementary information. In our …

- The course is recommended for students seeking more in-depth training in statistics. - The course is not recommended for students struggling with mathematics. - This course is part of a statistics …

The proposed approach is shown to outperform the state-of-the-art methods for both synthetic and real data captured with a multicamera setup and can reduce intercamera inconsistencies while …

A. DVI sensors off-the-shelf DVI sensors are marketed as depth cameras, but come in the form of small, lightweight systems featurin a depth sensor, an RGB camera and an IMU. Recent depth cameras …