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Forensic Analysis of Autonomous System Reach ability DK Lee Sue Moon, Division of Computer Science, WAIST Klee, Teasing Choir, Tattoo Along TRI choirs, soon an.waist.ac.KR Sejong TRI.re.KR ABSTRACT
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What is forensic analysis of autonomous?
Forensic analysis of autonomous refers to the process of examining and analyzing the data and evidence related to autonomous systems, such as self-driving cars or drones, to determine the cause of accidents, malfunctions, or any other incidents.
Who is required to file forensic analysis of autonomous?
The manufacturers, operators, or owners of autonomous systems may be required to file forensic analysis reports, depending on the regulations and requirements set by the governing authorities or applicable laws.
How to fill out forensic analysis of autonomous?
The process of filling out a forensic analysis of autonomous may vary depending on the specific requirements, but generally it involves documenting the details of the incident, collecting relevant data and evidence, conducting analysis and testing, and preparing a comprehensive report that outlines the findings and conclusions.
What is the purpose of forensic analysis of autonomous?
The purpose of forensic analysis of autonomous is to investigate and understand the factors contributing to incidents involving autonomous systems, identify any errors or malfunctions, determine liability or responsibility, and improve the overall safety and performance of autonomous technologies.
What information must be reported on forensic analysis of autonomous?
The information to be reported on a forensic analysis of autonomous may include details of the incident, such as date, time, and location, description of the autonomous system and its components, data logs, sensor readings, video footage, software analysis, maintenance records, and any other relevant information that can help in the investigation and analysis process.
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