Lot monitoring for smart parking systems

智能停车系统的停车场监控

• 批准号: 486050-2015
• 负责人: Whitehead, Anthony
• 金额: $ 1.64万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=585361
• 关键词: Lot; monitoring; smart; parking; systems

A Smart Parking System (SPS) allowing the drivers to get information on parking occupancies on site or online beforehand is envisioned. The SPS system to be developed presents an efficient and green approach (reducing carbon dioxide) for parking vehicles in a various scenarios. An automated parking space occupancy system that is low cost for deployment needs to be examined. The project proposed here will examine computer vision techniques for parking lot space occupancy detection and determine the feasibility of a system under general deployment conditions. The automated system will allow for a Smart Cities approach facilitating parking information to drivers who often looking for spaces and spending a lot of time and generating significant emissions while doing so. With reduced time to parking, a reduction in emissions is the logical outcome. The automated tracking of parking spot vacancies will facilitate such an outcome.

智能停车系统(SPS)，允许司机在现场或在线获取停车占用信息 是事先设想好的。将要开发的卫生和植物检疫制度提出了一种高效和绿色的方法(减少 二氧化碳)用于在各种情况下停放车辆。一种自动停车位占用系统， 是否低成本的部署需要进行检查。这里提出的项目将检查计算机视觉 一般情况下停车场空间占用检测和确定系统可行性的技术 部署条件。自动化系统将为智能城市提供便利停车的方法 向经常寻找停车位并花费大量时间和产生显著影响的司机提供信息 在这样做的同时排放。随着停车时间的减少，减少排放是合乎逻辑的结果。这个 自动跟踪停车位空置将有助于实现这一结果。