"In order to enable advanced safety applications and context-aware road services, Cooperative - Intelligent Transport Systems (C-ITS) require that vehicles' locations are accurately estimated, regardless of environmental or traffic conditions. For this purpose, vehicle-to-vehicle (V2V) data transmissions (e.g., IEEE 802.11p standard) can be exploited to exchange location information and optionally, to measure range-dependent radio metrics such as the Received Signal Strength (RSS). The aim is to improve conventional navigation capabilities through V2V cooperation, while providing constant accuracy within a few 10s of cm at most (even in GPS-denied environments). However, one major difficulty of using RSS for radiolocation purposes lies in the necessity to operate with a priori path loss models (and reliable calibrated parameters accordingly) so as to be able to draw range-dependent information out of received power. In the specific context of IEEE 802.11p GPS-enabled vehicular networks, the goal of the study is thus to design and validate new cooperative schemes and estimation algorithms capable of jointly retrieving the heading and the absolute position of each vehicle, while being less parametric (i.e., assuming no a priori power path loss parameters) and more resilient against radio obstructions (e.g., caused by surrounding mobile vehicles) or uncalibrated transmission power. Advantageously, one could assume several IEEE 802.11p-enabled modules on each vehicle to benefit from deployment diversity. These investigations could also be inspired by recent results in the field of cooperative localization based on body area networks, using differential RSS measurements performed at on-body nodes over off-body (with respect to infrastructure) or body-to-body links (between equipped pedestrians). "