◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Gustav Markkula

3 papers here

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1
  • stat.AP1
ORCID 0000-0003-0244-1582

identity via Semantic Scholar / OpenAlex

most citedPedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2024★ 3 cited

Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception

Yueyang Wang, Aravinda Ramakrishnan Srinivasan, Jussi P. P. Jokinen +2

This paper presents a model of pedestrian crossing decisions, based on the theory of computational rationality. It is assumed that crossing decisions are boundedly optimal, with bo…

cs.LG2023

Modeling human road crossing decisions as reward maximization with visual perception limitations

Yueyang Wang, Aravinda Ramakrishnan Srinivasan, Jussi P. P. Jokinen +2

Understanding the interaction between different road users is critical for road safety and automated vehicles (AVs). Existing mathematical models on this topic have been proposed b…

stat.AP2023

Deconstructing Pedestrian Crossing Decision-making in Interactions with Continuous Traffic: an Anthropomorphic Model

Kai Tian, Gustav Markkula, Chongfeng Wei +5

As safe and comfortable interactions with pedestrians could contribute to automated vehicles' (AVs) social acceptance and scale, increasing attention has been drawn to computationa…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.