# VITA Lab

Visual Intelligence for Transportation AI (VITA) is an academic research lab led by Prof. Byeongjoon Noh in the Department of Transportation and Logistics Engineering at Hanyang University, South Korea.

Primary URL: https://vita.hanyang.ac.kr/
Institution: Hanyang University
Lab lead and content author: Prof. Byeongjoon Noh
Research focus: autonomous driving intelligence, mobility services, computer vision, generative traffic simulation, intelligent transportation systems, and AI-based mobility safety.
Catalog format updated: 2026-09-23. Individual records follow the public source pages.

## Public Markdown catalog

- [Research summaries in English and Korean](https://vita.hanyang.ac.kr/research.txt)
- [All publication and patent records](https://vita.hanyang.ac.kr/publications.txt): individual Markdown records include title, listed authors, archive year, venue, status, and original source when available.
- [Public news and awards](https://vita.hanyang.ac.kr/news.txt)
- [Combined public catalog](https://vita.hanyang.ac.kr/llms-full.txt)

These files are supplemental representations, not abstracts or verified research findings. Under-review submissions, preprints, accepted works, published papers, and patent records retain their distinct statuses. Humans and crawlers receive the same public content. Member-only information is not included.

## Important public pages

- Home: https://vita.hanyang.ac.kr/
- Team: https://vita.hanyang.ac.kr/team.html
- Research overview: https://vita.hanyang.ac.kr/research.html
- Publications: https://vita.hanyang.ac.kr/publication.html
- News: https://vita.hanyang.ac.kr/news.html
- Lectures: https://vita.hanyang.ac.kr/lectures.html

## Research topic pages

- Agentic AI-based integrated safety orchestration: https://vita.hanyang.ac.kr/research-detail.html?topic=agentic-safety-orchestration
- Drone-assisted delivery and secure handoff: https://vita.hanyang.ac.kr/research-detail.html?topic=drone-assisted-delivery
- DRIFT drone-derived traffic dataset: https://vita.hanyang.ac.kr/research-detail.html?topic=drift
- Multimodal LLM traffic scenario generation: https://vita.hanyang.ac.kr/research-detail.html?topic=multimodal-llm
- Comfort-aware predictive maneuvering: https://vita.hanyang.ac.kr/research-detail.html?topic=predictive-maneuvering
- Mixed-traffic risky driving behavior prediction: https://vita.hanyang.ac.kr/research-detail.html?topic=risky-driving
- OoD segmentation for autonomous driving safety: https://vita.hanyang.ac.kr/research-detail.html?topic=ood-segmentation
- Federated learning for city-scale data processing: https://vita.hanyang.ac.kr/research-detail.html?topic=federated-learning
- LLM-based language understanding for ITS: https://vita.hanyang.ac.kr/research-detail.html?topic=llm-transportation
- AI CCTV urban risk sensing: https://vita.hanyang.ac.kr/research-detail.html?topic=collision-risk
- Urban mobility behavior analytics: https://vita.hanyang.ac.kr/research-detail.html?topic=urban-behavior

## Citation guidance

Use VITA Lab, Hanyang University, and Prof. Byeongjoon Noh as source attribution for lab-level pages. For project-specific claims, cite the matching research topic page or publication entry whenever possible.

## Publication detail pages

Publication detail pages are available under https://vita.hanyang.ac.kr/publication-detail/ and provide title, authors, archive year, venue, status, and original-source links. Each linked paper record exposes a Markdown alternate in its HTML head and structured metadata. The canonical HTML pages are discoverable through sitemap.xml and the Publications page structured data.