Abstract: Seismic monitoring while driving enables real-time advanced detection of hidden geological structures, serving as a key technology to overcome the efficiency and accuracy limitations of traditional active-source surveys and to support rapid intelligent driving. The quality of wavefield interferometric reconstruction of seismic while driving signals has always been critical to improving the application effectiveness of this technology, due to the non-periodic, continuous, and irregular characteristics of such signals. Through a comparative analysis of simulated signals from seismic monitoring while driving and conventional active-source surveys, the characteristics of interferometric reconstruction of while driving signals were investigated. It was found that while seismic interferometry achieves wavefield reconstruction, it also alters the amplitude and phase information of the waveforms. Moreover, regions with stronger amplitude energy exhibit more concentrated amplitude energy after interferometric computation; in particular, the first arrival wavefield shows more pronounced energy concentration characteristics compared to the wavefield responses of geological structures, severely affecting subsequent imaging and interpretation of geological structures. Based on the convolution-based waveform inversion theory independent of the wavelet, a waveform correction method for interferometrically reconstructed virtual shot gathers was proposed. Experimental results show that after waveform correction, the interferometrically reconstructed records from seismic monitoring while driving signals exhibit strong consistency with conventional active source records. To a certain extent, this method corrects the amplitude and phase modifications caused by seismic interferometry and restores the true seismic response, achieving superior wavefield reconstruction performance.