IEEE Robotics & Automation Magazine · 2015 · 11 citations · 34 references
ComputingComputer ScienceComputer VisionRobot VisionRoboticsObject DetectionObject RecognitionRobotic VisionBenchmark AnalysisComputer Vision For RoboticsCurated Data SetsInput Data AnalysisObject ClassificationPlace RecognitionReference Data SetsVisual Place Recognition
This article describes the Robot Vision challenge, a competition that evaluates solutions for the visual place classification problem. Since its origin, this challenge has been proposed as a common benchmark where worldwide proposals are measured using a common overall score. Each new edition of the competition introduced novelties, both for the type of input data and subobjectives of the challenge. All the techniques used by the participants have been gathered up and published to make it accessible for future developments. The legacy of the Robot Vision challenge includes data sets, benchmarking techniques, and a wide experience in the place classification research that is reflected in this article.
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