ChatGPT as a mapping assistant: A novel method to enrich maps with generative AI and content derived from street-level photographs

arXiv:2306.03204v2 Announce Type: replace-cross
Abstract: This paper explores the concept of leveraging generative AI as a mapping assistant for enhancing the efficiency of collaborative mapping. We present results of an experiment that combines multiple sources of volunteered geographic information (VGI) and large language models (LLMs). Three analysts described the content of crowdsourced Mapillary street-level photographs taken along roads in a small test area in Miami, Florida. GPT-3.5-turbo was instructed to suggest the most appropriate tagging for each road in OpenStreetMap …

abstract arxiv assistant chatgpt collaborative concept cs.cv cs.cy efficiency experiment generative information mapping maps multiple novel paper photographs results street type