A novel algorithm for color constancy
International Journal of Computer Vision
A physical approach to color image understanding
International Journal of Computer Vision
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
A computational model of color perception and color naming
A computational model of color perception and color naming
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
RoboCup: The Robot World Cup Initiative
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Artificial intelligence and mobile robots: case studies of successful robot systems
Artificial intelligence and mobile robots: case studies of successful robot systems
Borg: A Knowledge-Based System for Automatic Generation of Image Processing Programs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
Robust Monte Carlo localization for mobile robots
Artificial Intelligence
Color by Correlation: A Simple, Unifying Framework for Color Constancy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision for Mobile Robot Navigation: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Cooperative Navigation of Micro-Rovers Using Color Segmentation
Autonomous Robots
IEEE Transactions on Pattern Analysis and Machine Intelligence
The MAXQ Method for Hierarchical Reinforcement Learning
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
CM-Pack'01: Fast Legged Robot Walking, Robust Localization, and Team Behaviors
RoboCup 2001: Robot Soccer World Cup V
Complexity Issues in Markov Decision Processes
COCO '98 Proceedings of the Thirteenth Annual IEEE Conference on Computational Complexity
Geodesic Active Regions for Supervised Texture Segmentation
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Motion Segmentation and Tracking Using Normalized Cuts
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Spectral Segmentation with Multiscale Graph Decomposition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
On-line robot adaptation to environmental change
On-line robot adaptation to environmental change
Stanley: The robot that won the DARPA Grand Challenge: Research Articles
Journal of Robotic Systems - Special Issue on the DARPA Grand Challenge, Part 2
Continual planning and acting in dynamic multiagent environments
PCAR '06 Proceedings of the 2006 international symposium on Practical cognitive agents and robots
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering Surface Layout from an Image
International Journal of Computer Vision
Robust structure-based autonomous color learning on a mobile robot
Robust structure-based autonomous color learning on a mobile robot
Computer Graphics in C#: Principles and Practices
Computer Graphics in C#: Principles and Practices
Autonomous color learning on a mobile robot
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Towards an integrated robot with multiple cognitive functions
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Value-function approximations for partially observable Markov decision processes
Journal of Artificial Intelligence Research
The FF planning system: fast plan generation through heuristic search
Journal of Artificial Intelligence Research
Faster heuristic search algorithms for planning with uncertainty and full feedback
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Acquiring observation models through reverse plan monitoring
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Improving gamut mapping color constancy
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A computational model for color naming and describing color composition of images
IEEE Transactions on Image Processing
A smartphone-based obstacle sensor for the visually impaired
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Illumination invariant color model for object recognition in robot soccer
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
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Recent developments in sensor technology have made it feasible to use mobile robots in several fields, but robots still lack the ability to accurately sense the environment. A major challenge to the widespread deployment of mobile robots is the ability to function autonomously, learning useful models of environmental features, recognizing environmental changes, and adapting the learned models in response to such changes. This article focuses on such learning and adaptation in the context of color segmentation on mobile robots in the presence of illumination changes. The main contribution of this article is a survey of vision algorithms that are potentially applicable to color-based mobile robot vision. We therefore look at algorithms for color segmentation, color learning and illumination invariance on mobile robot platforms, including approaches that tackle just the underlying vision problems. Furthermore, we investigate how the inter-dependencies between these modules and high-level action planning can be exploited to achieve autonomous learning and adaptation. The goal is to determine the suitability of the state-of-the-art vision algorithms for mobile robot domains, and to identify the challenges that still need to be addressed to enable mobile robots to learn and adapt models for color, so as to operate autonomously in natural conditions.