Predicting Human Trajectories by Learning and Matching Patterns
Dapeng Zhao
Abstract:As more and more robots are envisioned to cooperate with humans sharing the same space, it is desired for robots to be able to predict others' trajectories to navigate in a safe and self-explanatory way.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).First, my supervisor, Dr. Jean Oh. She believed in my potentials when I had little to no experience in this research are… Show more
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