|
gptkbp:instance_of
|
gptkb:satellite
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:Rover_Operating_System_(ROS)
gptkb:cv_bridge
|
|
gptkbp:applies_to
|
gptkb:robot
augmented reality
computer vision
|
|
gptkbp:can_be_used_with
|
IMU
Li DAR
|
|
gptkbp:challenges
|
gptkb:legal_case
dynamic environments
lighting conditions
|
|
gptkbp:has_programs
|
gptkb:hospital
mapping
robotic exploration
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
visual SLAM
|
|
gptkbp:involves
|
data association
feature extraction
pose estimation
map optimization
|
|
gptkbp:is_evaluated_by
|
efficiency
accuracy
robustness
|
|
gptkbp:is_implemented_in
|
real-time systems
|
|
gptkbp:is_influenced_by
|
gptkb:software_framework
deep learning
|
|
gptkbp:is_often_compared_to
|
lidar SLAM
odometry
|
|
gptkbp:is_often_used_in
|
research projects
academic studies
commercial products
|
|
gptkbp:is_related_to
|
sensor fusion
|
|
gptkbp:is_supported_by
|
commercial software
open-source libraries
|
|
gptkbp:is_used_for
|
gptkb:hospital
environment mapping
3 D reconstruction
|
|
gptkbp:is_used_in
|
gptkb:musician
gptkb:engine
gptkb:helicopter
mobile robotics
|
|
gptkbp:key
|
autonomous navigation
smart cities
human-robot interaction
environment understanding
robotic mapping
|
|
gptkbp:requires
|
high computational power
|
|
gptkbp:research_areas
|
gptkb:Artificial_Intelligence
gptkb:computer_science
gptkb:robot
|
|
gptkbp:type_of
|
robot perception
|
|
gptkbp:uses
|
gptkb:Photographer
|