IP1: Incorporating Short-Term Spatial-Temporal Information for Robotic Sensing
Lead: Chris McCool
PhD student:
In this project, we will incorporate short-term spatial-temporal information to improve robotic sensing. This will integrate information regarding the spatial shift of the robot/camera (how far it has moved) along with the estimated scene structure (depth/3D information) in conjunction with the temporal information (time between captured images). In particular, we are interested with “how to best incorporate spatial-temporal information explicitly within deep learnt models”. To address this objective research topics of interest include, how to:
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- rapidly generate data to train spatial-temporal models (WP1);
- transform the spatial-temporal for use within deep learnt models and/or redesign networks to best incorporate spatial-temporal; and
- estimate and make use of the uncertainty of the spatial-temporal information.