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研究生:林泰丞
研究生(外文):LIN, TAI-CHENG
論文名稱:通用型機車盲點偵測輔助系統
論文名稱(外文):Universal Blind Spot Assist System for Motorcycles
指導教授:熊博安熊博安引用關係
指導教授(外文):HSIUNG, PAO-ANN
口試委員:嚴茂旭李宗演
口試委員(外文):YEN, MAO-HSULEE, TRONG-YEN
口試日期:2018-07-26
學位類別:碩士
校院名稱:國立中正大學
系所名稱:雲端計算與物聯網數位學習碩士在職專班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:中文
論文頁數:48
中文關鍵詞:盲點盲點輔助機車重型機車光達
外文關鍵詞:blind spotblind spot assistmotorcyclescooterarduinoLiDAR
相關次數:
  • 被引用被引用:2
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  • 評分評分:
  • 下載下載:176
  • 收藏至我的研究室書目清單書目收藏:0
機車,是在地狹人稠的台灣常見的交通工具,掛牌數有近一千四百萬輛,是汽車的1.7倍。市面上已可以買到許多配備智慧輔助系統的汽車以增加安全性,但機車的安全配備卻鮮少看見。

本論文利用雷射測距感應器以及Arduino開發板、藍芽模組,透過Android手機APP結合市面上常見的安全帽藍芽耳機,建構了一個盲點偵測輔助系統。在車輛的盲區出現物體時,可用相對應方向之單聲道的聲響直接提醒駕駛。本系統可安裝在機車、重機上,達到安全輔助的效果,並以較低的硬體成本,期望能達到推廣和普及的目的,增加機車行駛的安全性。

Since Taiwan is a small and densely populated island, people generally prefer to ride motorcycle or scooter as a convenient means of transportation. There are almost 14 million motorcycles and scooters in Taiwan and the amount is 1.7 times more than that of cars. While many Advanced Driver Assistance Systems are available in the local car market, only few are provided in the motorcycle market.

In this Thesis, we propose the design of a Blind Spot Assist System to accurately detect an object or obstacle in the blind spot area of a motorcycle and warn the rider. This system design is implemented using a Laser Range Sensor, a Bluetooth module, and Arduino microcontroller board. The sensor is used to detect objects, an Android APP notifies how far the detected object is, and the Bluetooth headset in the rider’s helmet sounds an alarm to warn the rider. The monophonic sound alarm highlights the location of the object in the blind spot area. This system design is very economical and can thus be used on both motorcycles and scooters to ensure safety at a low price.

誌謝 III
摘要 IV
ABSTRACT V
目錄 VI
表目錄 VIII
圖目錄 IX
第一章 緒論 1
一、 研究背景 1
二、 研究動機 2
三、 研究目的 2
四、 論文架構 2
第二章 盲點的定義及現有的輔助系統 4
一、 「盲點」的定義 4
二、 機車的盲點 5
三、 市面上的盲點輔助系統 5
第三章 實驗器材及原理介紹 10
一、 實驗器材 10
二、 系統開發環境 14
三、 TF MINI LIDAR雷射測距雷射測距原理介紹 17
第四章 盲點偵測輔助系統架構及運作 21
一、 ARDUINO端 22
二、 ANDROID端 25
第五章 實驗設計及實測驗證 30
一、 靜態車輛盲點偵測實驗 30
二、 兩車道路實驗 34
三、 大型重機道路實測 38
第六章、 結論及未來展望 44
一、 結論 44
二、 未來展望 45
參考文獻 46


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