In the WASP DAVE-JCAS project, we investigate the potentials of widely distributed apertures on vehicles for radio-based rigid body localization and sensing of the environment. Such systems have the ability of providing advanced driver assistance systems (ADAS) with information of unrivaled accuracy whilst being more cost effective than contemporary technologies. In particular, the project aims to develop design strategies for such systems, guaranteeing high accuracy whilst acknowledging the impact of the specific sparse aperture geometries on the system ambiguity. We devise estimators/detectors based on specific system and scenario models with varying degrees of complexity (LoS-only, LoS+NLoS, etc...) and verify their performance in simulations and (potentially) real measurements versus theoretical bounds. PI: Victor Pettersson (Doctoral Student), Chalmers University of Technology Main Supervisor: Musa Furkan Keskin, Chalmers University of Technology