March 15, 2024, 4:42 a.m. | Fabio Maresca, Filippo Grazioli, Antonio Albanese, Vincenzo Sciancalepore, Gianpiero Negri, Xavier Costa-Perez

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.09571v1 Announce Type: cross
Abstract: The tremendous hype around autonomous driving is eagerly calling for emerging and novel technologies to support advanced mobility use cases. As car manufactures keep developing SAE level 3+ systems to improve the safety and comfort of passengers, traffic authorities need to establish new procedures to manage the transition from human-driven to fully-autonomous vehicles while providing a feedback-loop mechanism to fine-tune envisioned autonomous systems. Thus, a way to automatically profile autonomous vehicles and differentiate those from …

abstract advanced analysis arxiv autonomous autonomous driving autonomous vehicles behavior behavior analysis car cases cs.lg cs.ro driving hype mobility novel robot safety support systems technologies traffic type use cases vehicles

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