Sept. 23, 2022, 1:14 a.m. | Srikanth Malla, Chiho Choi, Isht Dwivedi, Joon Hee Choi, Jiachen Li

cs.CV updates on arXiv.org arxiv.org

Considering the functionality of situational awareness in safety-critical
automation systems, the perception of risk in driving scenes and its
explainability is of particular importance for autonomous and cooperative
driving. Toward this goal, this paper proposes a new research direction of
joint risk localization in driving scenes and its risk explanation as a natural
language description. Due to the lack of standard benchmarks, we collected a
large-scale dataset, DRAMA (Driving Risk Assessment Mechanism with A captioning
module), which consists of 17,785 …

arxiv captioning drama driving localization risk

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Social Insights & Data Analyst (Freelance)

@ Media.Monks | Jakarta

Cloud Data Engineer

@ Arkatechture | Portland, ME, USA