May Mobility Selects Ouster’s LiDAR Sensors for Autonomous Shuttle Platform

Ouster, Inc. will provide four LiDAR sensors per vehicle on May Mobility’s next generation of autonomous shuttles, according to a joint press release from the companies. Since its founding in 2017, May Mobility has provided more than 270,000 rides to date. By contrast, Ouster is a leading provider of high-resolution digital LiDAR sensors for industrial automation, robotics, smart infrastructure, and automotive.

May Mobility Selects Ouster

Over the past several years, May Mobility has built prototypes with a wide variety of LiDAR sensor options before deciding on Ouster’s sensors for multi-range placements. According to May Mobility, the company elected to use Ouster’s digital LiDAR sensors for their field-tested reliability and scalable pricing for larger deployments like those May Mobility plans to roll out in Arlington, Texas, and Higashi-Hiroshima, Japan, in 2021. Earlier in 2021, Plus and Ouster signed a similar strategic customer agreement.

“As we expand our reach and evolve our shuttle service, it is important for May Mobility to work with outstanding partners that deliver technology solutions that help us ensure a safe experience,” said Edwin Olson, Founder and CEO of May Mobility. “We added Ouster’s sensors to our sensor suite for their combination of resolution, range, and reliability and look forward to working with them on upcoming launches.”

“May Mobility is a leader in autonomous mobility, and Ouster is excited to help power their next stage of growth,” added Angus Pacala, co-founder and CEO of Ouster. “Autonomous shuttles can make cities, campuses, airports, and other congested areas easier and safer to get around for everyone.”

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In December, Ouster entered into a definitive merger agreement with Colonnade Acquisition Corp. (NYSE: CLA) (“CLA”) in a transaction that would result in Ouster being listed on the NYSE. The transaction is expected to close in the first half of 2021, subject to the satisfaction of customary closing conditions.