Search Results for author:
Found 5 papers, 2 papers with code
Scene Compliant Trajectory Forecast with Agent-Centric Spatio-Temporal Grids
Forecasting long-term human motion is a challenging task due to the non-linearity, multi-modality and inherent uncertainty in future trajectories.
Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis
In this paper, we present a data-driven approach to implicitly model pedestrians' interactions with vehicles, to better predict pedestrian behavior.
Instance Segmentation as Image Segmentation Annotation
A different approach tries to solve the problem as an annotation problem, where the instance information is encoded in a mathematical representation.
Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment
We identify critical aspects of the data dependency from the artificial intelligence state of the art models and we also propose procedures to reproduce them.
Distance to Center of Mass Encoding for Instance Segmentation
The instance segmentation can be considered an extension of the object detection problem where bounding boxes are replaced by object contours.
