Search Results for author:
Found 2 papers, 0 papers with code
Predicting Human Trajectories by Learning and Matching Patterns
Thesis document of the degree of Master of Science in Robotics of Carnegie Mellon University School of Computer Science.
Noticing Motion Patterns: Temporal CNN with a Novel Convolution Operator for Human Trajectory Prediction
We propose a Convolutional Neural Network-based approach to learn, detect, and extract patterns in sequential trajectory data, known here as Social Pattern Extraction Convolution (Social-PEC).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
