DSiV: Data Science for Intelligent Vehicles

Data science (DS) devotes to extract useful data from noisy one to form actionable insights. It has broad applications in many domains such as internet search, tourism and social media. However, less systematic studies related to DS have been done in the field of intelligent vehicles (IV). As the size of data in IV becomes more enormous than ever before, it is necessary to give a high-level view on how to utilize DS for achieving better IV. After briefly retrospecting the history of DS, we shed light on the potential and prospects of DS in the IV domain through discussing data management, trusted data, interpretability, high-order relationship of intelligent vehicle data and so on. We also analyze the relationship between DS and several practical intelligent vehicle applications including self-driving system, data visualization, parallel intelligent vehicle system.