Fitting superquadrics in noisy, partial views from a low-cost RGBD sensor for recognition and localization of sacks in autonomous unloading of shipping containers.
Narunas VaskeviciusKaustubh PathakAndreas BirkPublished in: CASE (2014)
Keyphrases
- low cost
- recognition rate
- real time
- inertial navigation
- time of flight
- object models
- recognition accuracy
- object recognition and localization
- object recognition
- noisy environments
- sensor networks
- data acquisition
- database
- single view
- recognition algorithm
- range data
- activity recognition
- sensor data
- three dimensional objects
- model fitting
- range images
- feature extraction
- source localization
- noisy data
- robotic systems
- low power
- character recognition
- localization method
- least squares
- mobile robot