Conceptio › Archive › arXiv (All)
arXiv (All) open access

Comparing Monocular and Multi-View 3D Pedestrian Reconstruction Strategies for Urban Intersection Sensing

Mariani, Kauan et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
computer-vision-and-pattern-recognition
Understanding how pedestrians move and interact at urban intersections is central to traffic-safety assessment, mobility planning, and smart-city sensing. Such analyses rely on physically grounded descriptions of motion: 3D body pose, metric trajectories, and pose-derived descriptors such as stature
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1535621
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive