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Outdoor Path Labeling Using Polynomial Mahalanobis Distance

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Highlight and Shading Invariant Color Image Segmentation Using Simulated Annealing
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VITS-a vision system for autonomous land vehicle navigation
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Autonomous robotic vehicle road following
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Generalized principal component analysis (GPCA)
inferredcites →https://doi.org/10.1109/robot.1986.1087503openalex-snapshot
Progress in robot road-following
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UNSCARF-a color vision system for the detection of unstructured roads
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Combining laser range, color, and texture cues for autonomous road following
inferredcites →https://doi.org/10.1109/tpami.2005.244openalex-snapshot
Generalized principal component analysis (GPCA)
inferredcites →https://doi.org/10.15607/rss.2005.i.036openalex-snapshot
Adaptive Road Following using Self-Supervised Learning and Reverse Optical Flow
inferredcites →https://doi.org/10.5860/choice.30-5638openalex-snapshot
Numerical recipes in C: the art of scientific computing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Statistical Monitoring of Water Systems
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Development of an Accelerated Method for Calculating Streaming Video Data Obtained from UAVs
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Adapting Polynomial Mahalanobis Distance for Self-Supervised Learning in an Outdoor Environment
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Vision-based Motion Planning for an Autonomous Motorcycle on Ill-Structured Road
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A segmentation guided label propagation scheme for autonomous navigation
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Coping with imbalanced training data for improved terrain prediction in autonomous outdoor robot navigation
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Distances, metrics and cluster analysis
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