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PAANI : On Device Visual Evidence Fusion and Explainable Guidance for River Robot Simulation
Not provided in the abstract
explainable AIroboticscomputer visionedge computing
2609.22353
Builder Relevance
1h ago70%
Abstract
The paper presents PAANI, an architecture for mobile river monitoring robots that enhances obstacle interpretation and guidance through visual evidence fusion.
Reality Card
Core Claim
PAANI successfully integrates a YOLO11n detector and MobileNetV3 Small segmenter to provide explainable guidance for river robots on resource-constrained platforms.
Method / Result
The segmentation ONNX validation mIoU is 0.9750.
Limitations
Identified issues with black input misclassification and sampling rate mismatch that hinder evidence collection.
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