Enhanced Perception for Autonomous Driving Using Semantic and Geometric Data Fusion.

Environment perception remains one of the key tasks in autonomous driving for which solutions have yet to reach maturity. Multi-modal approaches benefit from the complementary physical properties specific to each sensor technology used, boosting overall performance. The added complexity brought on by data fusion processes is not trivial to solve, with design decisions heavily influencing the balance between quality and latency of the results.

Obstacle Detection Using a Facet-Based Representation from 3-D LiDAR Measurements.

In this paper, we propose an obstacle detection approach that uses a facet-based obstacle representation. The approach has three main steps: ground point detection, clustering of obstacle points, and facet extraction. Measurements from a 64-layer LiDAR are used as input.

From Diagnostic-Therapeutic Pathways to Real-World Data: A Multicenter Prospective Study on Upfront Treatment for -Positive Non-Small Cell Lung Cancer (MOST Study).

Introduction: Gefitinib, erlotinib, and afatinib represent the approved first-line options for epidermal growth factor receptor ()-mutant non-small cell lung cancer (NSCLC). Because pivotal trials frequently lack external validity, real-world data may help to depict the diagnostic-therapeutic pathway and treatment outcome in clinical practice.

Methods: MOST is a multicenter observational study promoted by the Veneto Oncology Network, aiming at monitoring the diagnostic-therapeutic pathway of patients with nonsquamous -mutant NSCLC.

LKB1 Expression Correlates with Increased Survival in Patients with Advanced Non-Small Cell Lung Cancer Treated with Chemotherapy and Bevacizumab.

LKB1 is a key sensor of metabolic stress, including hypoxia and glucose deprivation, two features of the tumor microenvironment exacerbated by antiangiogenic therapy. We investigated the role of LKB1 as a potential predictive marker of sensitivity to bevacizumab in advanced non-small cell lung cancer (aNSCLC). We retrospectively analyzed LKB1 expression by IHC in 98 samples from 125 patients with aNSCLC, including 59 patients treated with chemotherapy and 39 treated with chemotherapy plus bevacizumab.

Long baseline stereovision for automatic detection and ranging of moving objects in the night sky.

As the number of objects in Earth's atmosphere and in low Earth orbit is continuously increasing; accurate surveillance of these objects has become important. This paper presents a generic, low cost sky surveillance system based on stereovision. Two cameras are placed 37 km apart and synchronized by a GPS-controlled external signal.