Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a classifier to detect open vehicle doors. One of the methods includes obtaining a plurality of initial training examples, each initial training example comprising (i) a sensor sample from a collection of sensor samples and (ii) data classifying the sensor sample as characterizing a vehicle that has an open door; generating a plurality of additional training examples, comprising, for each initial training example: identifying, from the collection of sensor samples, one or more additional sensor samples that were captured less than a threshold amount of time before the sensor sample in the initial training example was captured; and training the machine learning classifier on first training data that includes the initial training examples and the additional training examples to generate updated weights for the machine learning classifier.
TRAINING A CLASSIFIER TO DETECT OPEN VEHICLE DOORS
TRAINING EINES KLASSIFIKATORS ZUR DETEKTION VON OFFENEN FAHRZEUGTÜREN
FORMATION D'UN CLASSIFICATEUR À LA DÉTECTION DE PORTIÈRES OUVERTES DE VÉHICULE
2021-09-22
Patent
Electronic Resource
English
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