A study of lane tracking control for an autonomous vehicle

碩士 === 國立屏東科技大學 === 車輛工程系所 === 106 === The contents of abstract in this thesis: This thesis presents a lane tracking system for an autonomous vehicle. This vehicle equips a video camera, a notebook computer running Opencv and a micro-control unit. This research employs a self-made electrical vehicle...

Full description

Bibliographic Details
Main Authors: Chiang, Yun-An, 江昀安
Other Authors: Chen, Li-Wen
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/8puyh3
id ndltd-TW-106NPUS5162022
record_format oai_dc
spelling ndltd-TW-106NPUS51620222019-07-04T05:59:50Z http://ndltd.ncl.edu.tw/handle/8puyh3 A study of lane tracking control for an autonomous vehicle 自駕車道路追蹤控制之研究 Chiang, Yun-An 江昀安 碩士 國立屏東科技大學 車輛工程系所 106 The contents of abstract in this thesis: This thesis presents a lane tracking system for an autonomous vehicle. This vehicle equips a video camera, a notebook computer running Opencv and a micro-control unit. This research employs a self-made electrical vehicle as a test platform. The video camera is used to video and identify the traffic lines between lanes. The notebook computer analyzes relative position between the vehicle front and the desired tracking path which is at the middle of the lane. To decrease the deviation between the desired and the actual driving path, the PD control algorithms is applied. The desired command coming from the controller is sent to an electrical power steering system to adjust the driving direction of the vehicle such that the platform can keep running at the middle of the lane. Experimental results show that, if there is no obstacles on the driving path, the PD controller can do lane tracking well for an autonomous vehicle. Keyword: lane tracking、image processing、autonomous vehicle Chen, Li-Wen 陳立文 2018 學位論文 ; thesis 44 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立屏東科技大學 === 車輛工程系所 === 106 === The contents of abstract in this thesis: This thesis presents a lane tracking system for an autonomous vehicle. This vehicle equips a video camera, a notebook computer running Opencv and a micro-control unit. This research employs a self-made electrical vehicle as a test platform. The video camera is used to video and identify the traffic lines between lanes. The notebook computer analyzes relative position between the vehicle front and the desired tracking path which is at the middle of the lane. To decrease the deviation between the desired and the actual driving path, the PD control algorithms is applied. The desired command coming from the controller is sent to an electrical power steering system to adjust the driving direction of the vehicle such that the platform can keep running at the middle of the lane. Experimental results show that, if there is no obstacles on the driving path, the PD controller can do lane tracking well for an autonomous vehicle. Keyword: lane tracking、image processing、autonomous vehicle
author2 Chen, Li-Wen
author_facet Chen, Li-Wen
Chiang, Yun-An
江昀安
author Chiang, Yun-An
江昀安
spellingShingle Chiang, Yun-An
江昀安
A study of lane tracking control for an autonomous vehicle
author_sort Chiang, Yun-An
title A study of lane tracking control for an autonomous vehicle
title_short A study of lane tracking control for an autonomous vehicle
title_full A study of lane tracking control for an autonomous vehicle
title_fullStr A study of lane tracking control for an autonomous vehicle
title_full_unstemmed A study of lane tracking control for an autonomous vehicle
title_sort study of lane tracking control for an autonomous vehicle
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/8puyh3
work_keys_str_mv AT chiangyunan astudyoflanetrackingcontrolforanautonomousvehicle
AT jiāngyúnān astudyoflanetrackingcontrolforanautonomousvehicle
AT chiangyunan zìjiàchēdàolùzhuīzōngkòngzhìzhīyánjiū
AT jiāngyúnān zìjiàchēdàolùzhuīzōngkòngzhìzhīyánjiū
AT chiangyunan studyoflanetrackingcontrolforanautonomousvehicle
AT jiāngyúnān studyoflanetrackingcontrolforanautonomousvehicle
_version_ 1719220083655442432