Anomaly Detection for Autonomous Drones
Self-supervised multimodal anomaly detection using deep reconstruction and forecasting (IEEE SPC 2020 runner-up)
Self-supervised deep reconstruction and forecasting for anomaly detection in autonomous drone systems using multimodal sensor data (video + IMU).
- Secured 2nd place globally in IEEE Signal Processing Cup 2020 (team Icarus Inhibition).
- Achieved the highest score in the selection round.
- Final competition held at ICASSP 2020.
Paper: Anomaly Detection using Deep Reconstruction and Forecasting for Autonomous Systems