This paper presents an iterative scheme aimed at recovering calibrated I, Q, and U maps from Planck HFI data using the orbital dipole due to the satellite motion with respect to the solar system frame. It combines a map reconstruction, based on a destriping technique, juxtaposed with an absolute calibration algorithm. We evaluate systematic and statistical uncertainties incurred on both these steps with help of realistic, Planck-like simulations containing CMB, foregrounds components and instrumental noise and assess the accuracy of the sky map reconstruction by considering the maps of the residuals and their spectra. In particular, we discuss destriping residuals for polarization sensitive detectors similar to those of Planck HFI under different noise hypotheses and show that these residuals are negligible (for intensity maps) or smaller than the white noise level (for Q and U Stokes maps), for l>50. We also demonstrate that the combined level of residuals of this scheme remains comparable with the destriping only case except at very low l where residuals from calibration appear. For all the considered noise hypothesis, the relative calibration precision is on the order of a few 10^-4, with a systematic bias of the same order of magnitude.