TBD Pedestrian Data Collection: Towards Rich, Portable, and Large-Scale Natural Pedestrian Data

arXiv:2309.17187v2 Announce Type: replace
Abstract: Social navigation and pedestrian behavior research has shifted towards machine learning-based methods and converged on the topic of modeling inter-pedestrian interactions and pedestrian-robot interactions. For this, large-scale datasets that contain rich information are needed. We describe a portable data collection system, coupled with a semi-autonomous labeling pipeline. As part of the pipeline, we designed a label correction web app that facilitates human verification of automated pedestrian tracking outcomes. Our system enables large-scale data collection in …

abstract arxiv behavior collection cs.cv cs.hc cs.ro data data collection datasets information interactions machine machine learning modeling natural navigation pedestrian research robot scale social type