The Identification of Terrains for Mobile Robots Using Eigenspace and Neural Network Methods
Explore this paper's citation graph
Summary
Experimental results based on iRobot's ATRV Jr demonstrate that the algorithm is able to iden- tify multi-differentiated terrains broadly defined as grass, asphalt, and gravel, and demonstrates its ability to reduce correlation of traversing terrains at different speeds.
- Type
- article
- Published
- 2006-01-01
- Cited by
- 17
- References
- 23
- OpenAlex
- https://openalex.org/W54632537
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16112630
Keywords
Terrain, Traverse, Computer science, Artificial intelligence, Identification (biology)
References
- TERRAIN ESTIMATION USING INTERNAL SENSORS
- Low-cost inertial navigation for moderate-g missions
- Fuzzy and neural approaches in engineering
- Probabilistic neural networks
- Vision-based terrain characterization and traversability assessment
- On the Estimation of the Probability Density, I
- Eigendecomposition-based pose detection in the presence of occlusion
- On Estimation of a Probability Density Function and Mode
- Natural terrain classification using 3-d ladar data
- Machine Learning, Neural and Statistical Classification
- Online terrain parameter estimation for wheeled mobile robots with application to planetary rovers
- Vibration-based Terrain Analysis for Mobile Robots
- Probabilistic neural networks and the polynomial Adaline as complementary techniques for classification
- Low Cost, High Integrity, Aided Inertial Navigation Systems for Autonomous Land Vehicles
- Neural networks
- Random Road Surfaces and Vehicle Vibration
- Online Terrain Estimation Using Internal Sensors
- KELVIN : Kart for Long distance Vision Navigation 2001 Florida Conference on Recent Advances in Robotics
Cited by
- Vibration-based terrain classification for electric powered wheelchairs
- A Comparison of Classifier Performance for Vibration-Based Terrain Classification
- Visual terrain classification for outdoor mobile robots
- Fundamentals and methods of terrain classification using proprioceptive sensors
- A survey on terrain assessment techniques for autonomous operation of planetary robots
- Slippery and sandy ground detection for hexapod robots based on organic computing principles and somatosensory feedback
- Updating control modes based on terrain classification
- Towards speed-independent road-type classification
- Vibration-based terrain classification using surface profile input frequency responses
- Terrain classification for mobile robots traveling at various speeds: An eigenspace manifold approach
- Computer Vision Studies Using Stochastic Resonance/Information-theoretic Methods
- A combination of vision- and vibration-based terrain classification
- Speed independent terrain classification using Singular Value Decomposition Interpolation
- In-situ soil sensing for planetary micro-rovers with hybrid wheel-leg systems
- Extraction of Speed-Independent Vibration Features for Terrain Classification in Lugged-Wheel Rovers
- Novelty Detection and Online Learning for Vibration-based Terrain Classification
Related papers
- Online Terrain Classification for Mobile Robots
- Vibration-based Terrain Analysis for Mobile Robots
- Vibration-based terrain classification for planetary exploration rovers
- Terrain estimation for high-speed rough-terrain autonomous vehicle navigation
- Vibration-based Terrain Classification Using Support Vector Machines
- Terrain characterization and classification with a mobile robot
- Adaptive neuro-fuzzy inference system based on-the-move terrain classification for autonomous wheeled mobile robots
- Overcoming the Loss of Performance in Unmanned Ground Vehicles Due to the Terrain Variability
- Frequency response method for terrain classification in autonomous ground vehicles