4 citations · 20 across the 25 of their papers we have counts for
4 papers · 1 filter
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving
Bernard Lange, Masha Itkina, Jiachen Li +1
Environment prediction frameworks are critical for the safe navigation of autonomous vehicles (AVs) in dynamic settings. LiDAR-generated occupancy grid maps (L-OGMs) offer a robust…
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…
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning
Masha Itkina, Katherine Driggs-Campbell, Mykel J. Kochenderfer
A key challenge for autonomous driving is safe trajectory planning in cluttered, urban environments with dynamic obstacles, such as pedestrians, bicyclists, and other vehicles. A r…