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LIDAR R&D Promises to Drop Cost by >50%
There are over 130 relatively small companies working on LIDAR (Light Detection & Ranging) research, equipment, and applications, which amounts to ~10,000 employees working to develop less expensive and more accurate LIDAR for use in autonomous vehicles and other applications. Huawei announced that their recently established Intelligent Automotive Solutions unit’s Wuhan R&D center now employs 10,000 people working toward that same goal. This puts Huawei’s LIDAR R&D at the same level as all other LIDAR companies combined, with Huawei’s goal of reducing LIDAR sensor costs from ~$400 - $500 currently, to $200 and eventually to $100. Huawei does not produce automobiles but looks to become the major supplier to those building intelligent vehicles.
Coretronic developed a navigation solution based on 3D LiDAR SLAM (simultaneous localization and mapping) technology for autonomous mobile robots, according to company president Andy Hsin. Without GPS signals for positioning, industrial carrying vehicles used to be equipped with magnetic stripes, reflectors or QR codes for accurate positioning, making it difficult to deploy them at factories, Hsin said.
The 3D LiDAR SLAM-based navigation solution is capable of 360-degree scanning and matched with a sensing-fusion algorithm and sensing data collected from gyroscopes for positioning. The solution is equipped with 3D-depth cameras to real-time capture characteristics of pallets for comparison and thereby can recognize shapes of different pallets and spatial coordinates of pallets to automatically adjust depth of fork-picking and compute optimal routes for robots to fork-pick pallets.
LIDAR R&D Promises to Drop Cost by >50%
There are over 130 relatively small companies working on LIDAR (Light Detection & Ranging) research, equipment, and applications, which amounts to ~10,000 employees working to develop less expensive and more accurate LIDAR for use in autonomous vehicles and other applications. Huawei announced that their recently established Intelligent Automotive Solutions unit’s Wuhan R&D center now employs 10,000 people working toward that same goal. This puts Huawei’s LIDAR R&D at the same level as all other LIDAR companies combined, with Huawei’s goal of reducing LIDAR sensor costs from ~$400 - $500 currently, to $200 and eventually to $100. Huawei does not produce automobiles but looks to become the major supplier to those building intelligent vehicles.
Coretronic developed a navigation solution based on 3D LiDAR SLAM (simultaneous localization and mapping) technology for autonomous mobile robots, according to company president Andy Hsin. Without GPS signals for positioning, industrial carrying vehicles used to be equipped with magnetic stripes, reflectors or QR codes for accurate positioning, making it difficult to deploy them at factories, Hsin said.
The 3D LiDAR SLAM-based navigation solution is capable of 360-degree scanning and matched with a sensing-fusion algorithm and sensing data collected from gyroscopes for positioning. The solution is equipped with 3D-depth cameras to real-time capture characteristics of pallets for comparison and thereby can recognize shapes of different pallets and spatial coordinates of pallets to automatically adjust depth of fork-picking and compute optimal routes for robots to fork-pick pallets.
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