April 1, 2024, 4:44 a.m. | Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.19976v1 Announce Type: new
Abstract: Event cameras, with their high temporal and dynamic range and minimal memory usage, have found applications in various fields. However, their potential in static traffic monitoring remains largely unexplored. To facilitate this exploration, we present eTraM - a first-of-its-kind, fully event-based traffic monitoring dataset. eTraM offers 10 hr of data from different traffic scenarios in various lighting and weather conditions, providing a comprehensive overview of real-world situations. Providing 2M bounding box annotations, it covers eight …

arxiv cs.cv dataset event monitoring traffic type

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

Tableau/PowerBI Developer (A.Con)

@ KPMG India | Bengaluru, Karnataka, India

Software Engineer, Backend - Data Platform (Big Data Infra)

@ Benchling | San Francisco, CA