4 citations · 20 across the 25 of their papers we have counts for
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Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments
Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake +1
Predicting the future occupancy state of an environment is important to enable informed decisions for autonomous vehicles. Common challenges in occupancy prediction include vanishi…
Out-of-Distribution Detection for Automotive Perception
Julia Nitsch, Masha Itkina, Ransalu Senanayake +5
Neural networks (NNs) are widely used for object classification in autonomous driving. However, NNs can fail on input data not well represented by the training dataset, known as ou…
Attention Augmented ConvLSTM for Environment Prediction
Bernard Lange, Masha Itkina, Mykel J. Kochenderfer
Safe and proactive planning in robotic systems generally requires accurate predictions of the environment. Prior work on environment prediction applied video frame prediction techn…
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
Masha Itkina, Boris Ivanovic, Ransalu Senanayake +2
Discrete latent spaces in variational autoencoders have been shown to effectively capture the data distribution for many real-world problems such as natural language understanding,…