The State of the Art in Online Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neurocomputing
Modern Control Engineering
Experiences with an Autonomous Robot Attending AAAI
IEEE Intelligent Systems
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Automatic license plate recognition
IEEE Transactions on Intelligent Transportation Systems
Spartacus attending the 2005 AAAI conference
Autonomous Robots
A brochette of socially interactive robots
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Scene text detection and tracking for a camera-equipped wearable reading assistant for the blind
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
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The ability to read would surely contribute to increased autonomy of mobile robots operating in the real world. The process seems fairly simple: the robot must be capable of acquiring an image of a message to read, extract the characters, and recognize them as symbols, characters, and words. Using an optical Character Recognition algorithm on a mobile robot however brings additional challenges: the robot has to control its position in the world and its pan-tilt-zoom camera to find textual messages to read, potentially having to compensate for its viewpoint of the message, and use the limited onboard processing capabilities to decode the message. The robot also has to deal with variations in lighting conditions. In this paper, we present our approach demonstrating that it is feasible for an autonomous mobile robot to read messages of specific colors and font in real-world conditions. We outline the constraints under which the approach works and present results obtained using a Pioneer 2 robot equipped with a Pentium 233MHz and a Sony EVI-D30 pan-tilt-zoom camera.