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researcher

Yu Yao

8 papers hereh-index 8853 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.SP2
  • cs.RO1
  • eess.SY1
same name
  • Yu Yao — 11 papers, h 6
  • Yu Yao — 9 papers, h 9
  • Yu Yao — 9 papers, h 7
  • Yu Yao — 8 papers, h 7
  • Yu Yao — 4 papers, h 14
  • Yu Yao — 4 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedGame-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections

15 citations · 43 across the 7 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

eess.SY2019★ 15 cited

Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections

Nan Li, Yu Yao, Ilya Kolmanovsky +2

Motivated by the need to develop simulation tools for verification and validation of autonomous driving systems operating in traffic consisting of both autonomous and human-driven…

cs.RO2019★ 1 cited

Realtime Rooftop Landing Site Identification and Selection in Urban City Simulation

Jeremy Castagno, Yu Yao, Ella Atkins

Safe autonomous landing in urban cities is a necessity for the growing Unmanned Aircraft Systems (UAS) industry. In urgent situations, building rooftops, particularly flat rooftops…

eess.SP2019★ 5 cited

The Smart Black Box: A Value-Driven High-Bandwidth Automotive Event Data Recorder

Yu Yao, Ella M. Atkins

Autonomous vehicles require reliable and resilient sensor suites and ongoing validation through fleet-wide data collection. This paper proposes a Smart Black Box (SBB) to augment t…

cs.CV2019

Unsupervised Traffic Accident Detection in First-Person Videos

Yu Yao, Mingze Xu, Yuchen Wang +2

Recognizing abnormal events such as traffic violations and accidents in natural driving scenes is essential for successful autonomous driving and advanced driver assistance systems…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.