基于机器视觉的车道保持系统研究开题报告

 2021-11-16 23:39:19

1. 研究目的与意义(文献综述)

1.1 the key technologies for driverless cars

self-drivingcars automatically plan driving routes after obtaining road environmentinformation through on-board sensing systems.and control the speed and steeringof the vehicle [1], so as to achieve safe and reliable driving onthe road. the key technologies of driverless cars mainly include the perceptionof the road environment, the planning of driving paths, the intelligent decision-makingof vehicle motion behavior, and the realization of adaptive motion control ofvehicles [2]. at present, the immature development of environmentalsensing technology is still the main reason hindering the overall performanceof driverless cars, and it is also the biggest obstacle to the large-scalecommercialization of driverless cars [3].

1.2 research status in my country

剩余内容已隐藏,您需要先支付后才能查看该篇文章全部内容!

2. 研究的基本内容与方案

2.1 the maincontents of research

1) image acquisition and preprocessing invehicle driving: take the coordinate system of driverless vehicle as theconstraint condition, define the installation position of vision sensor on the testplatform and establish the corresponding mathematical model.

剩余内容已隐藏,您需要先支付后才能查看该篇文章全部内容!

3. 研究计划与安排

Table1 schedule

Time node

Mission requirements

1-2weeks (week 19-20 of term 7)

Determine the topic of graduation project, improve the graduationproject assignment (relevant parameters), and collect data inside and outsidethe school

3weeks (week 1 of term 8)

Project conception, literature search and completion of opening report

4-5 weeks (2-3 weeks of term 8)

Foreign translation and data collection

6-8 weeks (4-6 weeks of term 8)

Design calculation, sketch drawing

9-11 weeks (week 7-9 of term 8)

Drawing of drawings, preparation of draft design calculationinstructions (Thesis)

12-14 weeks (week 10-12 of term 8)

Preparation and arrangement of drawings and design calculationinstructions, arrangement of data bags and examination of defensequalification

15 weeks (week 13 of term 8)

Students apply for reply and prepare for it; teachers review drawingsand instructions

16-17 weeks (week 14-15 of term 8)

Take part in reply

4. 参考文献(12篇以上)

[1] 武历颖.无人驾驶汽车环境信息提取及运动决策方法研究[d].长安大学,2016.

[2] 李伟杰.基于机器视觉的车道偏离系统的研究[d].北京交通大学,2010.

[3] 石晴.基于视觉的智能车车道保持技术研究[d].贵州大学,2017.

剩余内容已隐藏,您需要先支付 10元 才能查看该篇文章全部内容!立即支付

课题毕业论文、开题报告、任务书、外文翻译、程序设计、图纸设计等资料可联系客服协助查找。