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Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach
Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach
Summary
Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach is a scholarly article[1].
Key Facts
Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-pedestrian-behavior-in-pedestrian-vehicle-near-misses-a-continuous-gaussian-process-inverse-reinforcement-learn
MLA“Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-pedestrian-behavior-in-pedestrian-vehicle-near-misses-a-continuous-gaussian-process-inverse-reinforcement-learn.
BibTeX@misc{4ortxyz_modeling-pedestrian-behavior-in-pedestrian-vehicle-near-misses-a-continuous-gaussian-process-inverse-reinforcement-learn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-pedestrian-behavior-in-pedestrian-vehicle-near-misses-a-continuous-gaussian-process-inverse-reinforcement-learn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach — https://4ort.xyz/entity/modeling-pedestrian-behavior-in-pedestrian-vehicle-near-misses-a-continuous-gaussian-process-inverse-reinforcement-learn (retrieved 2026-05-24)
