Estimation of range-gated depth in autonomous driving with RGB geometric priors
RGD-Net, a new depth estimation network that incorporates RGB geometric priors that can capture long-range spatial dependencies and reduce local noise interference, is suggested, and experimental results indicate that RGD-Net is promising for range-gated 3D imaging in autonomous perception tasks.