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VWise: A novel benchmark for evaluating scene classification for vehicular applications
We propose VWise, a novel benchmark for road-type classification and scene classification tasks, in addition to tasks focused on external contexts related to vehicular applications in LatAm.
Task Conditioned BERT for Joint Intent Detection and Slot-filling
Dialogue systems need to deal with the unpredictability of user intents to track dialogue state and the heterogeneity of slots to understand user preferences.
Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks
We propose a bio-inspired foveated technique to detect cars in a long range camera view using a deep convolutional neural network (DCNN) for the IARA self-driving car.
Self-Driving Cars: A Survey
In this survey, we present the typical architecture of the autonomy system of self-driving cars.
Robotics
