记录伦敦的自治市镇来解决停车问题
Case study
Author:Penny Boviatsou
花费数小时在繁忙的城市道路和停车场上寻找停车位是一件严重的事情。全世界的城市一直在浪费燃料的问题上挣扎，排放量加起来，加上狩猎停车的经济和非经济影响。
停车应用技术正在上升，为用户提供无现金付款，并帮助驾驶员查找和预订停车位并避免停车票。
AppyParking是一家位于伦敦的Kerbside Management and Mobility技术公司，经营屡获殊荣的停车应用that allows users to see and understand all on-street parking areas, restrictions and operating hours in addition to off-street car parks, helping users make informed choices about where to park before they arrive.
“We’re on a mission to make parking forgettable for drivers by providing the best on-street parking information so they can find the nearest and cheapest options for where they want to go. We also work closely with local authorities to help them better manage their kerbside assets with data-driven solutions that improve compliance and safe access for drivers and businesses,”Appyparking首席执行官兼创始人Dan Hubert说。
AppyParking needed to survey London’s kerbsides to创建所有停车区的准确地图跨首都。停车公司接近GetMapping PLC, a leading provider of aerial photography, mobile mapping, LiDAR, digital mapping and web-based services across Europe and Africa, to undertake mobile mapping surveys of car parking zones across London.
在捕获和处理大量地理空间数据方面拥有20多年的经验，GetMapping投资了两个Leica Pegasus：两个终极移动地图系统调查伦敦的自治市镇the largest mobile mapping project in Europe。
通过移动映射捕获有效的数据
项目计划对项目的成功至关重要。GetMapping希望确保该项目按计划顺利进行。最初的capture of parking data for six London boroughs在2017/18秋季需要，到2018年前六个月的进步阶段。
A team of three surveyors drove每天25公里与Leica Pegasus：两个在伦敦的行政区周围同时进行收集图像和激光雷达数据。Surveying was possible throughout winter months of poor light, and no surveyors or traffic management crews were needed in the road – all data was captured from the safety of the vehicle.
数据收集完成后，将数据转移回了硬盘的办公室。两个团队成员使用Leica Pegasus：经理生成同时定位和映射（SLAM）校正的轨迹，以及全景图像和彩色点云。
“测量方法和移动映射系统的进展为收集道路数据的新观点开辟了新的观点。借助Leica Pegasus：两个最终，我们能够平稳收集数据，在伦敦附近的调查站点周围旅行，无需交通管理或封路，”said Martin Tocher, group innovation director at Getmaping.
更多数据，更快
进一步捕获停车数据13伦敦区started immediately and was completed by mid-year 2018.
GetMapping购买了一个Pegasus：两个终极的移动映射系统，并将现有的Pegasus升级到了两个终极版本，以完成该项目。PEGASUS：两个最终允许在各种照明条件和车辆速度下捕获 - 大型传感器与像素比和双光传感器可以实现更高的动态范围。随着12百万像素和板载JPEG压缩的增加，摄影测量和图像质量得到改善。
“The Leica Pegasus:Two Utlimate’s higher resolution camera system offered better picture quality, plus the dual fish-eye camera system provided ‘stitching free’”图片，” GetMapping欧洲运营经理Alexandre Alves说。“By utilising Leica Geosystems’ latest mobile mapping technology, which has three times the resolution compared to a standard system, the volume of data handled by Getmapping increased threefold, and we upscaled our processing resources to handle the huge volume of data that phase two required.”
后100 days of surveying，这两个阶段的结果是：
- Surveys of all伦敦19号行政区的停车区和五个城市
- More than被捕获的6,500公里在具有多次通行证的城市环境中，以避免数据阻塞
- 100万个数据每秒捕获
- 收集的原始数据的19台
- 52个数据的数据
- 27个每个受控停车区提取的功能
- 最终相对准确性比1.5厘米
- 最终绝对精度优于4厘米
- 最大值 - 移动映射减少了平均调查时间by 80 per cent与传统的调查方法相比。
捕获的图像和点云数据以及相关的特征提取，使概述能够传递high definition traffic management data到他们的智能停车系统。GetMapping的移动地图团队提前提供了最终数据，还调查了布莱顿，剑桥，牛津，朴次茅斯和考文垂，以支持Appyparking的智能停车场。客户的期望是现在调查欧洲各地的城市。
