Classification-Based Wheel Slip Detection and Detector Fusion for Outdoor Mobile Robots.
Chris C. WardKarl IagnemmaPublished in: ICRA (2007)
Keyphrases
- mobile robot
- detection method
- neyman pearson
- detection algorithm
- machine learning
- classification models
- text classification
- image classification
- classification algorithm
- detection rate
- classification scheme
- object detection
- support vector machine
- support vector
- robust detection
- classifier combination
- detection accuracy
- classification accuracy
- feature space
- decision level fusion
- feature extraction
- classification method
- feature selection
- outdoor environments
- automatic classification
- pattern recognition
- feature vectors
- false positives
- class labels
- dynamic environments
- support vector machine svm
- path planning
- autonomous robots
- maximally stable
- digital mammograms
- supervised learning
- unknown environments
- classifier fusion
- anomaly detection
- sensor fusion
- false alarm rate
- face detection
- multi robot
- multi sensor
- robotic systems
- surveillance system
- information fusion
- automatic detection
- data fusion