Big Data Analytics for Vehicle Multisensory Anomalies Detection

• DOI: 10.1016/j.procs.2022.08.099
• Publication Date: 2022-09-11T07:36:35Z
• Authors: Ana Xavier Fernandes; Pedro Guimarães; Maribel Yasmina S...
• Keywords: Sensor Fusion; Data Analysis; Complement; Cockpit

Autonomous driving is assisted by different sensors, each providing information about certain parameters. What we are looking for an integrated perspective of all these parameters to drive us into better decisions. To achieve this goal, a system that can handle Big Data issues regarding volume, velocity and variety needed. This paper aims design develop real-time Warehouse repository, integrating the data generated multiple sensors developed in context IVS (In-Vehicle Sensing) systems; be stored repository should merged, which will imply its processing, consolidation preparation analytical mechanisms required. multisensory fusion important because it allows integration perspectives terms sensor data, since they complement other. Therefore, enrich entire analysis process at decision-making level, instance, understanding what going on inside cockpit.