This chapter presents an filtering framework for cloud-aided semi-active suspension system with time-varying delays. In this system, road profile information is downloaded from a cloud database to facilitate onboard estimation of suspension states. Time-varying data transmission delays are considered and assumed to be bounded. A quarter-car linear suspension model is used and an filter is designed with both onboard sensor measurements and delayed road profile information from the cloud. The filter design procedure is designed based on linear matrix inequalities (LMIs). Numerical simulation results are reported that illustrate the fusion of cloud-based and onboard information that can be achieved in Vehicle-to-Cloud-to-Vehicle (V2C2V) implementation.