Although vehicular crowdsourcing represents an emerging technology to assist many smart city applications, maintaining sensing data quality is still a challenge. This article considers the challenges and offers a potential solution for a hybrid scenario involving both driverless cars and human-controlled vehicles, within the limited task budget.