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Found 4 papers, 1 papers with code
Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression
We develop a deep neural network (MACSYMA) to address the symbolic regression problem as an end-to-end supervised learning problem.
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car
These innovative labels can enable several computer vision tasks, including pedestrian intent/behavior prediction, vehicle-pedestrian interaction segmentation, and video-to-language mapping for explainable algorithms.
Dynamics of Pedestrian Crossing Decisions Based on Vehicle Trajectories in Large-Scale Simulated and Real-World Data
Humans, as both pedestrians and drivers, generally skillfully navigate traffic intersections.
What Can Be Predicted from Six Seconds of Driver Glances?
We consider a large dataset of real-world, on-road driving from a 100-car naturalistic study to explore the predictive power of driver glances and, specifically, to answer the following question: what can be predicted about the state of the driver and the state of the driving environment from a 6-second sequence of macro-glances?
