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Quazi Marufur Rahman

3 accepted papers

2022

FSNet: A Failure Detection Framework for Semantic Segmentation

RA-L 2022

Semantic segmentation is an important task that helps autonomous vehicles understand their surroundings and navigate safely. However, during deployment, even the most mature segmentation models are vulnerable to various external factors that can degrade the segmentation performance with potentially

Cited by 21SourceScholar
2021

Online Monitoring of Object Detection Performance During Deployment

IROS 2021poster

During deployment, an object detector is expected to operate at a similar performance level reported on its testing dataset. However, when deployed onboard mobile robots that operate under varying and complex environmental conditions, the detector’s performance can fluctuate and occasionally degrade…

Cited by 13SourceScholar
2019

Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors

IROS 2019poster

Object detection is an integral part of an autonomous vehicle for its safety-critical and navigational purposes. Traffic sign as an object plays a vital role in guiding such systems. However, if the vehicle fails to locate any critical sign, it might make a catastrophic failure. In this paper, we ar…

Cited by 39SourceScholar