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Autoevolution進入發燒排行的影片

發光二極體與雷射光源於智慧車用頭燈應用之光學設計與分析

為了解決Autoevolution的問題，作者張庭瑜 這樣論述：

在車用頭燈不斷的進步下，現在許多新型車款的車用頭燈皆以發光二極體(LED)或雷射代替傳統的鹵素燈泡作為光源進行照明，不僅更省電，還可以為駕駛人提供更舒適的照明視野；此外，配合近年來越來越流行的自動駕駛車，車用頭燈中也出現了許多智慧型車燈功能，其中包含自動頭燈轉向照明系統、智慧型遠光燈自動切換系統以及自適應前方照明車燈，隨著這些智慧功能的出現，可以減少未來駕駛人在道路上發生眩光的機會，也可以為駕駛人提供更安全的照明視野。於本論文中，將分別對兩種光源的車用頭燈進行模擬實驗及分析，並設計出符合法規且滿足各智慧型系統條件的車用頭燈。

基於物聯網技術運用於智慧停車輔助系統之研究

為了解決Autoevolution的問題，作者范南青 這樣論述：

In recent years, there has been a rapid development of technologies devising solutions for intelligent transportation systems, including intelligent parking assist systems. However, previous systems revealed several weaknesses, such as models which are not scalable, do not provide a full range of p

arking services to users, do not effectively manage parking resources, and have high latency in real-time parking services. To overcome these problems, this thesis examines previous research and proposes a new model for intelligent parking assist systems. We also introduce novel algorithms that incr

ease the efficiency of the proposed system based on Internet of Things (IoT) technologies. Our system can help users to automatically find an optimal parking space at the least cost, based on new performance metrics. In addition, this thesis also proposes an intelligent parking assist system with a

full range of end-to-end support services including: finding a suitable parking space based on the user’s profile, outside guidance service, enter car park service, and indoor guidance service. Our system has been simulated and successfully implemented in the real world. The simulation results show

that our system helps to improve the probability of successful parking and minimizes user waiting time.