Evaluation of Semantic Segmentation Performance for a Multimodal Roadside Vehicle Detection System on the Edge by Lauren Ervin, Max Eastepp, Mason McVicker, Kenneth Ricks

“…This work proposes a portable roadside vehicle detection system as part of a solution for tracking traffic along any path. Training semantic segmentation networks to automatically detect specific types of vehicles while ignoring others will allow the user to track payloads present only on certain vehicles of interest, such as train cars or semi-trucks. …”
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