Lyft利用Hivemapper的Depin应用程序捕获街道级别的映射数据

Lyft是一家拥有超过200万司机的乘车共享公司，将利用Hivemapper（索拉纳（Solana）的DEPIN应用程序，作为低级，以街道为中心的映射解决方案。

Rideshare giant Lyft has partnered with startup Bee Maps to bring together cutting-edge mapping solutions with the company’s fleet of over 2 million drivers. The partnership will see solutions from Hivemapper, a Solana-based DePIN application, employed by Lyft to provide low-level, street-focused mapping.

Rideshare Giant Lyft已与启动Bee Maps合作，将尖端的映射解决方案与该公司超过200万司机的车队结合在一起。该合作伙伴关系将看到由Lyft使用的基于Solana的Depin应用程序Hivemapper的解决方案，以提供低级，以街头为中心的映射。

Lyft Partners With Bee Maps to Capture Street-Level Mapping Data

Lyft合作伙伴带有蜜蜂地图以捕获街道级别的映射数据

Lyft, the ridesharing company with over 2 million drivers in the U.S. and Canada, has decided to employ a Decentralized Physical Infrastructure Network (DePIN) project to keep its street-level map data up to date.

Lyft是乘车共享公司，在美国和加拿大拥有超过200万个驾驶员，已决定采用分散的物理基础设施网络（DEPIN）项目，以使其街道级地图数据保持最新。

Announced on Monday, the partnership will see solutions provider Bee Maps, which leverages Hivemapper to capture fresh, street-level mapping data for navigation tasks, brought into the fold. According to a blog post, the two parties have been working together since earlier this year, and the partnership will include coordination across map engineering team members in the U.S. and Europe.

该合作伙伴关系将在周一宣布，将看到解决方案提供商Bee Maps，该地图利用HiveMapper捕获新鲜的街道映射数据进行导航任务。根据博客文章，两党自今年早些时候开始合作，该合作伙伴关系将包括美国和欧洲地图工程团队成员之间的协调。

Employing Hivemapper through Bee Maps will help drivers and riders move more smoothly with fresh and accurate street-level data in a decentralized manner. The move might also see Lyft preparing to launch autonomous riding solutions that rely on these maps to achieve more intelligent mobility.

通过Bee Maps使用HiveMapper将帮助驾驶员和骑手以分散的方式使用新鲜和准确的街道级别数据更加顺利地移动。此举可能还会看到Lyft准备启动依靠这些地图以实现更聪明的移动性的自动骑行解决方案。

Highlighting the essence of this development, members of Hivemapper pointed out that this will allow Lyft to keep its map data in a state of constant update. “We’re proud to see Lyft relying on our network to help build and maintain its maps. The best ride-hailing marketplaces want the freshest map data,” Hivemapper stated.

HiveMapper的成员指出，强调了这种发展的本质，指出这将使Lyft能够将其MAP数据保持在不断更新的状态。 HiveMapper说：“我们很自豪地看到Lyft依靠我们的网络来帮助构建和维护其地图。最好的乘车市场想要最新鲜的地图数据。”

However, Ariel Seidman, co-founder and CEO of Bee Maps, added that this movement marks the shift away from old mapping solutions, which lack the means to keep their data updated. Due to this limitation, the latter are unable to detect detours, signage, road features, or new construction details relevant for achieving efficient navigation and optimum ride times.

但是，Bee Maps的联合创始人兼首席执行官Ariel Seidman补充说，此运动标志着从旧的映射解决方案中转移，这些解决方案缺乏保持数据更新的手段。由于这一限制，后者无法检测到与实现有效的导航和最佳乘车时间有关的弯路，标牌，道路功能或新的施工细节。

“Lyft recognized that old-school mapping couldn’t keep up with the real world. For mobility to work and for autonomy to become reality, maps can’t be an afterthought—they need to be crowdsourced, live, accurate, and open,” Seidman stated.

塞德曼说：“莱夫特（Lyft）认识到，老式的映射无法跟上现实世界。为了使机动能力和自主权成为现实，地图不能成为事后的想法 - 他们需要众群体，生活，准确和开放。”

On May 8, Hivemaps reached a new milestone, having registered over 500 million kilometers mapped since its service began.

5月8日，Hivemaps达到了一个新的里程碑，自服务开始以来，已注册了超过5亿公里的映射。