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Sai Srinadhu Katta

2 accepted papers

2023

Towards a Reliable and Lightweight Onboard Fault Detection in Autonomous Unmanned Aerial Vehicles

ICRA 2023poster

This paper proposes a new model for onboard physical fault detection on autonomous unmanned aerial vehicles (UAV) through machine learning (ML) techniques. The proposal performs the detection task with high accuracies and minimal processing requirements while signaling an unreliable ML model to the…

Cited by 11SourceScholar
2022

Real-World On-Board Uav Audio Data Set For Propeller Anomalies

ICASSP 2022accepted

Detecting propeller damage in Unmanned Aerial Vehicles (UAV) is a crucial step in ensuring their operational resilience and safety. In this work, we present a novel real-world audio data set of propeller anomalies, and use several deep learning models to classify the damage. This data set consists o…

Cited by 0SourceScholar