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Published at December 6

ETLNet: An Efficient TCN-BiLSTM Network for Road Anomaly Detection Using Smartphone Sensors

cs.CV

cs.AI

Released Date: December 6, 2024

Authors: Mohd Faiz Ansari¹, Rakshit Sandilya¹, Mohammed Javed¹, David Doermann²

Aff.: ¹IIIT Allahabad, India; ²University at Buffalo, USA

Arxiv: http://arxiv.org/pdf/2412.04990v1

Refer to caption

Author	Model	Accuracy	Precision	Recall	F1-Score
		(%)	(%)	(%)	(%)
Souza, et al. [11]	DWT, LCSS	81.13	87	93	90
Dey, et al.[4]	SVM, RF, RT	92	-	-	92
Kumar, et al.[12]	ANN	98	98	98	98
Kempaiah et al.[13]	LSTM	80	81	-	-
Salman et al.[21]	CNN	92	81	92	92
Menegazzo et al.[6]	CNN-LSTM $\leftrightarrow$	98.59	99.64	98.75	99.19
Proposed Model	ETLNet $\rightarrow$	98.84	99.46	99.19	99.33