Energy features support 85-90% surface classification accuracy with DL models across three datasets and yield 1-2% gains when fused with inertial data.
NNPP: A learning-based heuristic model for accelerating optimal path planning on uneven terrain,
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Leveraging Energy Features for Surface Classification with Deep Learning: A Comparative Analysis Across Three Independent Datasets
Energy features support 85-90% surface classification accuracy with DL models across three datasets and yield 1-2% gains when fused with inertial data.