DynPedestrian

Ignacio Martinez-Alpiste, Gelayol Golcarenarenji, Qi Wang and Jose M. Alcaraz Calero

"DynPedestrian" deployes an adaptative solution to YOLO-based models for autonomous driving. It is able to detect pedestrians at different distances and it is prepared to work on low-consumption NVIDIA gpu. This software can achieve a speed increment of 48.7% without dropping the accuracy.

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International Journal publication.

TBD