Intern – Sensor Fusion

System Architecture & Sensor Integration
• Support the design and implementation of a multi-sensor fusion framework integrating IMU, GPS, barometer, magnetometer, radar, and visual sensors.
• Assist in defining data acquisition pipelines and synchronization mechanisms between hardware sensors and onboard processors.
• Collaborate with embedded and AI teams to ensure fusion data is accessible for real-time control and decision-making.
Algorithm Development
• Develop and test sensor fusion algorithms using Kalman Filter (KF), Extended KF (EKF), Unscented KF (UKF), or Particle Filters for attitude and position estimation.
• Implement drift correction and bias estimation techniques to enhance stability under dynamic conditions.
• Participate in building AI/ML-assisted fusion models for anomaly detection, adaptive filtering, and environmental compensation.
Data Processing & Simulation
• Support data logging, preprocessing, and calibration from multiple sensors during ground and flight tests.
• Use simulation environments (e.g., MATLAB, Simulink, ROS, Gazebo) to validate sensor models and fusion performance.
• Analyze logged flight data to evaluate sensor latency, noise, and correlation for model optimization.
Integration with Flight Control Systems
• Collaborate with the Autonomous Control and AI Stabilization teams to feed fused data into flight control loops.
• Support integration with tether control, altitude management, and payload stabilization systems.
• Validate closed-loop performance and ensure minimal latency in data fusion outputs.
Testing & Field Validation
• Participate in bench tests and field trials for sensor fusion validation on tethered and free-floating balloon systems.
• Assist in testing for GNSS-denied environments using inertial navigation techniques.
• Document experimental setups, performance metrics, and recommended improvements.
Documentation & Reporting
• Prepare system block diagrams, signal flow charts, and interface control documents (ICDs) for the fusion module.
• Maintain detailed logs of calibration procedures, sensor configurations, and data collection sessions.
• Contribute to internal reports and presentations summarizing findings and test results.
Collaboration & Innovation
• Coordinate with radar, communication, and AI teams for cross-domain data integration.
• Explore sensor redundancy and fault-tolerant fusion techniques for high-reliability operations.
• Propose improvements to onboard computing architectures for faster and more energy-efficient fusion processing.