March 27, 2024, 4:46 a.m. | Gianluca D'Amico, Mauro Marinoni, Giorgio Buttazzo

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.17084v1 Announce Type: cross
Abstract: Perception tasks play a crucial role in the development of automated operations and systems across multiple application fields. In the railway transportation domain, these tasks can improve the safety, reliability, and efficiency of various perations, including train localization, signal recognition, and track discrimination. However, collecting considerable and precisely labeled datasets for testing such novel algorithms poses extreme challenges in the railway environment due to the severe restrictions in accessing the infrastructures and the practical difficulties …

abstract analysis application arxiv automated comparative analysis cs.cv cs.ro development discrimination domain efficiency environments fields localization multiple operations perception railway recognition reliability role safety signal systems tasks train transportation type virtual visual world

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US