| 英文摘要 |
Autonomous vehicles rely on numerous sensors to gather real-time data which are fed into artificial intelligent algorithms to produce accurate manipulations that have been made through human sensations. As a result, data collected from the sensors play an essential role in autonomous driving. However, there has only been very few discussions on the data collection problem in autonomous driving and its legitimate regulations are far from complete. Despite the existing policies on guidelines and regulations in different countries in response to the prospering industrial development of autonomous vehicles, few of them have addressed the issue of data collection, and these regulations could be very likely be incomprehensive without detailed investigations and disputes. Given that Taiwan has newly added the Unmanned Vehicles Technology Innovative Experiment Act, autonomous vehicles have already entered their testing phase in the country. This thesis first outlines the data collection issue in autonomous vehicles from existing literature, including whether and what to collect, when to store the observed data, and their processing and usage post-collection. Second, this thesis compares discussions, guidelines and regulations from Europe and America regarding data collection in autonomous driving technology. It also analyzes their strengths and weaknesses with a view to contributing to Taiwan’s forthcoming legislation on the focal data collection issue. |
