Manual
RoboSense's latest
RS-LiDAR-Algorithms
is built into RS-Cube, analyzing LiDAR's point cloud
data in
real-time
in order
to
produce semantic-level environmental information
for
self-driving
cars under any scenarios.
RS-Cube is
an
upgraded version
of
the RS-Box. The performance
of
the algorithms has been
greatly improved with continuous update and iteration by RoboSense. The hardware
computing platform is upgraded
to
the Jetson AGX Xaiver, which is more powerful and equipped
with peak computing capability
of
up
to
32 TOPS while supporting operations
of
two
RS-LiDAR-16
plus one
RS-LiDAR-32
.
RS-Cube will accelerate your autonomous driving programs with more enhanced features and
outstanding performance.
Perception Function Module
Obstacles Detection Obstacles Classification and Recognition
Freespace Detection
Multi-LiDAR
Point Cloud Fusion*
Recommended height
for
LiDAR installation: 1 m - 2.5m above the ground
Perception radius: up
to
60
meters (with proper installation and suitable LiDAR models)
Dynamic Objects Tracking
Support UDP (Socket)
&
ROS
Node Output
Application scenarios:
Outdoor
medium-low
speed driving (recommended speed: below
40
km/h,
maximum 60
km/h)
*Users need
to
calibrate the LiDAR System before using the
multi-LiDAR
point
cloud fusion function.
RoboSense I Suteng Innovation Technology Co., Ltd.
10-11 /F, Block
3,
Chongwen Garden, Nanshan IPark, 3370 Liuxian Avenue, Shenzhen, China
0755-86325830
I service@robosense.cn
www.robosense.ai