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Vidyasagar Sadhu

2 accepted papers

2020

On-board Deep-learning-based Unmanned Aerial Vehicle Fault Cause Detection and Identification

ICRA 2020poster

With the increase in use of Unmanned Aerial Vehicles (UAVs)/drones, it is important to detect and identify causes of failure in real time for proper recovery from a potential crash-like scenario or post incident forensics analysis. The cause of crash could be either a fault in the sensor/actuator sy…

Cited by 77SourceScholar
2019

Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data

IROS 2019poster

Corner cases are the main bottlenecks when applying Artificial Intelligence (AI) systems to safety-critical applications. An AI system should be intelligent enough to detect such situations so that system developers can prepare for subsequent planning. In this paper, we propose semi-supervised anoma…

Cited by 20SourceScholar