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--- en:ros:simulations:uku [2021/06/09 13:07] – raivo.sell
+++ en:ros:simulations:uku [Unknown date] (current) – external edit (Unknown date) 127.0.0.1
@@ Line 10: / Line 10: @@
 **LiDAR**
-The UKU's main sensor is Lidar. Lidars are very good sensors to sense the surroundings, but they are also relatively expensive. The use of capable lidars because of their price limits their use on personal robots. UKU uses a 3D Lidar //Velodyne VLP-16//. Lidar has 16 channels and 360 ° viewing angle. This means that Lidar emits 16 rays vertically in each direction. This Lidar is also used by most self-driving vehicles and other sophisticated self-driving robot systems.
+The UKU's main sensor is Lidar. Lidars are very good sensors to sense the surroundings, but they are also relatively expensive. The use of capable lidars because of their price limits their use on personal robots. UKU uses a 3D Lidar //Velodyne VLP-16//. Lidar has 16 channels and a 360 ° viewing angle. This means that Lidar emits 16 rays vertically in each direction. This Lidar is also used by most self-driving vehicles and other sophisticated self-driving robot systems.
 ^  Velodyne VLP-16 Specification                                                                                |||
@@ Line 30: / Line 30: @@
 {{ :en:ros:simulations:rplidar.png?400 |}}
-//RPlidar// has a 360 ° field of view but has only one channel. Therefore, the output of the Lidar is two-dimensional. Such Lidars are a good choice for navigating indoors where walls and other vertical objects are obstructed.
+//RPlidar// has a 360 ° field of view but has only one channel. Therefore, the output of the Lidar is two-dimensional. Such Lidars are a good choice for navigating indoors-where walls and other vertical objects are obstructed.
 {{ :en:ros:simulations:phone-8k.gif |}}

en/ros/simulations/uku.1623244054.txt.gz · Last modified: 2021/06/09 09:00 (external edit)