Realistic Global Navigation Satellite System (GNSS) synthetic data is essential for the research and development of vehicular applications, such as Advanced Driver Assistance Systems (ADAS), autonomous driving, and solutions or scenarios that are difficult and expensive to test in the real world, such as vehicular cooperative positioning. However, generating GNSS synthetic data is complex due to satellite dynam...
Recent advancements in vehicle technology have stimulated innovation across the automotive sector, from Advanced Driver Assistance Systems (ADAS) to autonomous driving and motorsport applications. Modern vehicles, equipped with sensors for perception, localization, navigation, and actuators for autonomous driving, generate vast amounts of data used for training and evaluating autonomous systems. Real-world test...
Advanced Driver Assistance Systems (ADAS) and autonomous driving require high positioning performance (high accuracy, reliability, and availability). These requirements are not always possible due to disruptions and limitations on Global Navigation Satellite System (GNSS) signals. Cooperative positioning approaches aim to mitigate the drawbacks of GNSS by exploring the collaboration of road participants enhanci...
Esta dissertação foi desenvolvida no âmbito do projeto ODISSEY financiado pelo programa PORTUGAL2020. Este projeto tem como objetivo desenvolver uma plataforma integrada de informação geográfica destinada a arqueólogos e técnicos de património. A identificação de sítios arqueológicos produz informações complementares, que permitem consolidar as fontes de informação patrimonial já existentes. A identificação e d...