Lookingbill et al., 2007 - Google Patents
Reverse optical flow for self-supervised adaptive autonomous robot navigationLookingbill et al., 2007
View PDF- Document ID
- 3595240900313582152
- Author
- Lookingbill A
- Rogers J
- Lieb D
- Curry J
- Thrun S
- Publication year
- Publication venue
- International Journal of Computer Vision
External Links
Snippet
Autonomous mobile robot navigation, either off-road or on ill-structured roads, presents unique challenges for machine perception. A successful terrain or roadway classifier must be able to learn in a self-supervised manner and adapt to inter-and intra-run changes in the …
- 230000003287 optical 0 title abstract description 75
Classifications
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- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3233—Determination of region of interest
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6288—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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