Cars are increasingly connected and autonomous. In the past, insurance telematics products have been based on retrofitted tracking systems, commonly called “Black Boxes”, and used to calculate insurance premiums based on simplistic metrics, such as the distance driven. Those systems however have drawbacks. First, the users do not like to install such devices in their private cars, as they are usually perceived as invasive. Second, the cost of the device is usually significant, hence reducing the margin for the insurance provider who often covers their cost. In combination with Advanced Driver Assistance Systems (ADAS) that provide semi-autonomous driving capabilities, new insurance schemes can be envisioned. In this project we will retrieve and analyse telematics data of a fleet of vehicles equipped with Level 2 ADAS, including Adaptive Cruise Control (ACC) and Lane Keeping Assistance. We will evaluate how those systems are used on a daily basis and evaluate their impact on the risk of accidents. Finally, we will validate a novel telematics insurance product for connected and semi-autonomous vehicles based on our findings.