RESUMO
In recent years, the automotive industry has witnessed significant progress in the development of automated driving technologies. The integration of advanced sensors and systems in vehicles has led to the emergence of various functionalities, such as driving assistance and autonomous driving. Applying these technologies on the assembly line can enhance the efficiency, safety, and speed of transportation, especially at end-of-line production. This work presents a connected automated vehicle (CAV) demonstrator for generating autonomous driving systems and services for the automotive industry. Our prototype electric vehicle is equipped with state-of-the-art sensors and systems for perception, localization, navigation, and control. We tested various algorithms and tools for transforming the vehicle into a self-driving platform, and the prototype was simulated and tested in an industrial environment as proof of concept for integration into assembly systems and end-of-line transport. Our results show the successful integration of self-driving vehicle platforms in the automotive industry, particularly in factory halls. We demonstrate the localization, navigation, and communication capabilities of our prototype in a demo area. This work anticipates a significant increase in efficiency and operating cost reduction in vehicle manufacturing, despite challenges such as current low traveling speeds and high equipment costs. Ongoing research aims to enhance safety for higher vehicle speeds, making it a more viable business case for manufacturers, considering the increasing standardization of automated driving equipment in cars. The main contribution of this paper lies in introducing the general concept architecture of the integration of automated driving functionalities in end-of-line assembly and production systems. Showing a case study of the effective development and implementation of such functionalities with a CAV demonstrator in a more standardized industrial operational design domain.
RESUMO
OBJECTIVE: Imaging of reporter gene expression holds promise for noninvasive monitoring of cardiovascular molecular therapy. We investigated the feasibility of myocardial gene expression imaging in living rats using the human sodium/iodide symporter gene (hNIS) and widely available scintigraphic techniques. METHODS: We injected adenovirus expressing hNIS under control of cytomegalovirus promoter (Ad(hNIS)) directly into left ventricular myocardium of Wistar rats. For detection of reporter gene expression, dynamic gamma-camera imaging was performed following intravenous injection of (123)Iodide or (99m)Technetium. RESULTS: For both radiotracers, focal cardiac accumulation was identified as early as 10 min, and remained detectable until 2 hrs after injection, while it was not present in animals injected with LacZ control virus. Intensity of tracer accumulation gradually decreased when decreasing titers of Ad(hNIS) were applied. Treatment with sodium perchlorate (a blocker of hNIS) abolished cardiac tracer uptake after Ad(hNIS)-infection. Serial imaging after cardiac gene transfer demonstrated a peak of tracer signal between days 1 and 3, and a subsequent decrease until day 12. Postmortem analysis of hearts yielded significant correlation between in vivo radiotracer accumulation and ex vivo gamma-counting. Autoradiography demonstrated specific regional radioactivity in Ad(hNIS)-infected myocardial areas. CONCLUSIONS: hNIS offers a practical and reliable approach for myocardial gene expression imaging. Using suitable vectors, hNIS may be coexpressed with therapeutic genes or stably expressed in stem cells for future monitoring of cardiovascular molecular therapy.