Panasonic Develops 3D LiDAR Sensor

Panasonic Corporation announced that it has developed a 3D LiDAR sensor that accurately measure the direction of and distance to objects with a wide angle of view, which is critical for autonomous operation of mobile robots.

Employing Panasonic's propriety laser-scanning technology, this 3D LiDAR is capable of scanning the laser as wide as up to 60 degrees vertically and 270 degrees horizontally to achieve stable operation of autonomous robots. Sample shipments will start in January 2018. Panasonic will exhibit the 3D LiDAR at "CEATEC JAPAN 2017" at Makuhari Messe, Chiba, Japan, from October 3 to 6, 2017

The wide scanning angle of the newly developed 3D LiDAR helps the detection of objects on the ground precisely as well as the roughness of the ground surface. In addition, the range of scanning angles and the resolution can be tailored precisely by adjusting the rotation angle and speed of the mirrors in the system. This feature gives users accuracy and flexibility to choose the most appropriate conditions for the measurement depending on their usage. That will facilitate the wide-spread use of autonomous robots[2] that navigate inside or outside facilities with moving objects around, including people.

Panasonic's new 3D LiDAR has the following features:

1) Wide view angles: 60 degrees in vertical and 270 degrees in horizontal directions

2) Variable detection settings for viewing angles and resolution in vertical

3) Accurate detection under strong sunlight

Autonomous robots need to detect the condition of the ground as well as the objects around them since they will be operated inside and/or outside facilities with many moving objects including people. Conventional 3D LiDARs that are designed for autonomous driving of automobiles cannot scan the laser in a wide range of vertical angles. Therfore, they cannot precisely detect the conditions of the ground. For this reason, conventional LiDARs need to be combined with other sensors that can detect the ground condition. This results in complicated configuration and the design of the autonomous robots.