PERCEPTION
An Empirical Evaluation of Ten Depth Cameras: Bias, Precision, Lateral Noise, Different Lighting Conditions and Materials, and Multiple Sensor Setups in Indoor Environments
Georg Halmetschlager-Funek, Markus Suchi, Martin Kampel, Markus Vincze
- Year
- 2018
- Citations
- 81
- Access
- Open access
Abstract
Over the last few years, novel color and depth sensors have pushed the boundaries of robot perception significantly. Today, several new depth-sensing products are replacing the earlier, well-examined red-green-blue-depth (RGBD) sensors, which have reached the end of their product life cycle and are no longer available. The properties of the new sensors have not yet been investigated, and it is unclear how they will compare to earlier RGBD sensors.
Keywords
Noise (video)Computer scienceComputer visionArtificial intelligenceRobotPerceptionImage sensorImage (mathematics)
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002