Physics-Guided Learning for Monocular Visual Object Localization in Indoor Environments
The proposed PC-IMVL integrates deep visual perception with embedded physical modeling, which explicitly introduces spatial physical constraints into the network optimization process and builds a physical consistency-aware loss function to regularize 3D position and pose estimation, which enables efficient and reliable embedded deployment.