Digital Twin Platform with Sensor Fusion Models | Machine Learning Project by Salman Fariz Navas
Автор: Data Science Retreat
Загружено: 2025-10-23
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Digital Twin Platform with Sensor Fusion Models
Project by Salman Fariz Navas
Digital Twin Platform with Sensor Fusion Models integrates multimodal data streams (visual, thermal, RADAR, LIDAR, telemetry) into an interactive real-time dashboard for disaster management and defense. Built on the CARLA simulation framework, it enables detection, classification, and tracking of entities through sensor fusion, enhancing situational awareness with alerts, trajectories, and contextual insights. For the demo, the focus is on visual + RADAR fusion, with future extensions to live sensor feeds. The aim of the project is to create a digital twin platform powered by sensor fusion that provides actionable, interpretable, and real-time insights in complex environments, overcoming the limitations of single-sensor systems for improved decision-making.
#DigitalTwin #SensorFusion #MachineLearning #DataScienceRetreat #CARLA #AI #DefenseTech #DisasterManagement #AIDemoDay
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