結合多感測器與智慧控制演算法之機車輔助駕駛系統

市面上常見的輔助駕駛系統多為汽車所設計，而本論文則探討專門為機車設計之輔助駕駛系統，使用智慧型手機為平台，結合觸控、超音波、酒精和Beacon多項感測器，開發出結合多感測器與智慧控制演算法之機車輔助駕駛系統，透過超音波與震動馬達和Beacon偵測機車的距離以達到行車安全，偵測駕駛機車倒地並發出緊急通報，當使用者遭遇緊急路況時，如：塞車、修路和車禍等，能即時上傳路面資訊，達到即時路況資訊分享的效果，並且系統會將搜尋到的Beacon藍牙代碼與使用者的位置上傳至雲端伺服器，並記錄各路段車流量資訊，如此使用者能避開車流量過多的路段。本研究也將車牌號碼做編碼，如果使用者的機車遭竊，可以透過其他使用者搜尋到的Beacon代碼尋回自己的愛車，最後系統讀取中央氣象局資料庫與全民健保健康存摺，提供即時天氣資料與引發慢性疾病的提醒，達到全方位的機車輔助駕駛系統。

關鍵字

機車駕駛安全輔助系統；智慧型手機；感測器；行車安全； Beacon藍牙微定位技術；車流量資訊；即時推播

並列摘要

The common auxiliary driving system on the market is designed for the car, and this paper propose the auxiliary driving system designed for the motorcycle design. It uses the smart phone as the platform, and use Arduino microcontroller to integrate touch, ultrasonic, alcohol, Beacon and multi-sensor. An intelligent control algorithm receives the multiple sensor signals to process and provides multiple increasing safety functions to user. For example, our system can detect the safety distance among many motors through the ultrasonic, vibration motor and Beacon for keeping traffic safety. Next, it can detect driver whether he/she fell to the ground or not. If he/she fell to ground, our system can issue an emergency notification. When the driver encountered Emergency traffic, such as traffic jams, roads and motorcycle accidents, the system can instantly upload pavement information to achieve the effect of real-time traffic sharing, and the system will be found in the Beacon unique code and the user's location uploaded to the cloud server, and record the traffic information of each section, so that users can avoid excessive traffic flow sections. And, the system will also encode the license plate number, if the user's motorcycle stolen, through other users to search the Beacon unique code to find their own motorcycle. Finally, the system reads the Central Meteorological Bureau database and the National Health Insurance passbook, and provides immediate weather information to achieve remind of chronic diseases. From experimental results, we understand that our system can achieve a full range of locomotive auxiliary driving system.

並列關鍵字

locomotive driving safety assist system ； smartphone ； sensor ； driving safety ； Beacon ； traffic information ； instant messaging

參考文獻

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[3] Gurdit Singh, Divya Bansal and Sanjeev Sofat," A smartphone based technique to monitor driving behavior using DTW and crowdsensing," Pervasive and Mobile Computing, pp.89-96, 2017.

[4] Josip Ćesić, Ivan Marković, Igor Cvišić and Ivan Petrović," Radar and stereo vision fusion for multitarget tracking on the special Euclidean group," Robotics and Autonomous Systems, pp.338-348, 2016.

[5] Joon-Young Kwak, Byoung Chul Ko and Jae-Yeal Nam," Pedestrian intention prediction based on dynamic fuzzy automata for vehicle driving at nighttime," Infrared Physics & Technology, pp.41-51, 2017.

國際替代計量

結合多感測器與智慧控制演算法之機車輔助駕駛系統

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