Search Results for author: Quazi Marufur Rahman

Found 4 papers, 1 papers with code

FSNet: A Failure Detection Framework for Semantic Segmentation

no code implementations19 Aug 2021 Quazi Marufur Rahman, Niko Sünderhauf, Peter Corke, Feras Dayoub

Semantic segmentation is an important task that helps autonomous vehicles understand their surroundings and navigate safely.

Autonomous Vehicles Navigate +2

Online Monitoring of Object Detection Performance During Deployment

no code implementations16 Nov 2020 Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub

During deployment, an object detector is expected to operate at a similar performance level reported on its testing dataset.

Autonomous Driving Object +2

Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment

1 code implementation18 Sep 2020 Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub

Performance monitoring of object detection is crucial for safety-critical applications such as autonomous vehicles that operate under varying and complex environmental conditions.

Autonomous Vehicles Object +2

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

no code implementations15 Mar 2019 Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub

The proposed method raises an alarm when it discovers a failure by the object detector to detect a traffic sign.

Object object-detection +3

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