Work

Enhancement of Conflict Detection Rates by a Gaussian Model with Survival Analysis

Year: 2025

Type: conference-paper

Abstract: International audience

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Kawabuchi, Takayuki, Mimura, Ryota, Zulkipli, Zarir Hafiz

Institutions: Honda (Japan), Honda R&D Co., Ltd. (Japan), Institut Penyelidikan Keselamatan Jalan Raya Malaysia

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7117346323

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