all AI news
Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequence
March 28, 2024, 4:46 a.m. | Tanay Rastogi, M{\aa}rten Bj\"orkman
cs.CV updates on arXiv.org arxiv.org
Abstract: Time-space diagrams are essential tools for analyzing traffic patterns and optimizing transportation infrastructure and traffic management strategies. Traditional data collection methods for these diagrams have limitations in terms of temporal and spatial coverage. Recent advancements in camera technology have overcome these limitations and provided extensive urban data. In this study, we propose an innovative approach to constructing time-space diagrams by utilizing street-view video sequences captured by cameras mounted on moving vehicles. Using the state-of-the-art YOLOv5, …
abstract analysis arxiv automated camera technology collection construction coverage cs.cv data data collection diagrams infrastructure limitations management patterns space spatial strategies street technology temporal terms tools traffic traffic analysis traffic management transportation type video view
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
1 day, 14 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Global Data Architect, AVP - State Street Global Advisors
@ State Street | Boston, Massachusetts
Data Engineer
@ NTT DATA | Pune, MH, IN