Alibaba Group's Cainiao Network and RoboSense Announce World's First Solid-State LiDAR Unmanned Logistics Vehicle

RoboSense and Alibaba will provide delivery vehicles with solid-state LiDARs for G Plus unmanned logistics cars/trucks, drastically reducing cost. The vehicles can be mass-produced, allowing rapid expansion of unmanned logistics vehicles and streamlining mass market logistics. Unmanned cars and trucks can be equipped with smart devices, for a courier vehicle, mobile self-pickup station, mobile coffee vending cart, etc., for new retail scenarios.

Alibaba's Cainiao G Plus is equipped with three RS-LiDAR-M1Pres, two in front and one in rear, to ensure the most powerful 3D perception for driving. This allows vehicles to clearly see the direction of travel: shape, distance, azimuth, travel speed, and direction of travel of pedestrians, cars, trucks, etc., as well as exact areas to drive, ensuring smooth flow of unmanned logistics vehicles in complex road environments.

RS-LiDAR-M1Pre is the first MEMS solid-state LiDAR launched by RoboSense. Presented at CES 2018, the core technology of the MEMS LiDAR is disruptive to traditional mechanical multi-beam radars. RS-LiDAR-M1Pre MEMS micro mirror scanning scheme requires only a few laser emitters and receivers to scan the MEMS micro-mirror in both directions because of the swing angle. Resolution is a very fine, high and vertical angle resolution of 0.2° throughout angle of view.

For traditional mechanical multi-beam LiDAR to achieve the same effect, they require more than a hundred laser transmitters and receivers to simultaneously rotate and scan, greatly increasing costs and reducing yield and reliability, making the advantages of MEMS solid-state LiDAR technology obvious. While improving the performance of LiDAR, cost savings is great, and miniaturization greatly improves stability.

For more information: http://www.robosense.ai.

Photos:
RoboSense Logo: http://www.thomas-pr.com/136/photos/robosenselogo.html
RoboSense LiDAR: http://www.thomas-pr.com/136/photos/robosenselidar.html
G Plus: http://www.thomas-pr.com/136/photos/robosensegplus.html
Cainiao Logo: http://www.thomas-pr.com/136/photos/robosensecainiao.html

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SOURCE RoboSense