Machine Learning Methods For Radar-Based People Detection And Tracking By Mobile Robots
FOURTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, ROBOT 2019, VOL 2(2020)
摘要
This paper reports a machine learning approach for people detection and tracking in indoor environments using a compact radar system deployed by a mobile robot. The set-up described in the paper includes a series of experiments carried out in an indoor scenario involving walking people and dummies representative of other moving objects. In these experiments, distinct learning models (a neural network and a random forest) were explored with different combinations of radar features to achieve person versus non-person classification.
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关键词
RADAR, Mobile robotics, Machine learning, People detection
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