Lyft利用Hivemapper的Depin應用程序捕獲街道級別的映射數據

Lyft是一家擁有超過200萬司機的乘車共享公司，將利用Hivemapper（索拉納（Solana）的DEPIN應用程序，作為低級，以街道為中心的映射解決方案。

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已與啟動Bee Maps合作，將尖端的映射解決方案與該公司超過200萬司機的車隊結合在一起。該合作夥伴關係將看到由Lyft使用的基於Solana的Depin應用程序Hivemapper的解決方案，以提供低級，以街頭為中心的映射。

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

Lyft合作夥伴帶有蜜蜂地圖以捕獲街道級別的映射數據

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是乘車共享公司，在美國和加拿大擁有超過200萬個駕駛員，已決定採用分散的物理基礎設施網絡（DEPIN）項目，以使其街道級地圖數據保持最新。

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.

該合作夥伴關係將在周一宣布，將看到解決方案提供商Bee Maps，該地圖利用HiveMapper捕獲新鮮的街道映射數據進行導航任務。根據博客文章，兩黨自今年早些時候開始合作，該合作夥伴關係將包括美國和歐洲地圖工程團隊成員之間的協調。

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.

通過Bee Maps使用HiveMapper將幫助駕駛員和騎手以分散的方式使用新鮮和準確的街道級別數據更加順利地移動。此舉可能還會看到Lyft準備啟動依靠這些地圖以實現更聰明的移動性的自動騎行解決方案。

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的成員指出，強調了這種發展的本質，指出這將使Lyft能夠將其MAP數據保持在不斷更新的狀態。 HiveMapper說：“我們很自豪地看到Lyft依靠我們的網絡來幫助構建和維護其地圖。最好的乘車市場想要最新鮮的地圖數據。”

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的聯合創始人兼首席執行官Ariel Seidman補充說，此運動標誌著從舊的映射解決方案中轉移，這些解決方案缺乏保持數據更新的手段。由於這一限制，後者無法檢測到與實現有效的導航和最佳乘車時間有關的彎路，標牌，道路功能或新的施工細節。

“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.

塞德曼說：“萊夫特（Lyft）認識到，老式的映射無法跟上現實世界。為了使機動能力和自主權成為現實，地圖不能成為事後的想法 - 他們需要眾群體，生活，準確和開放。”

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

5月8日，Hivemaps達到了一個新的里程碑，自服務開始以來，已註冊了超過5億公里的映射。