The Role of Self-Forensics in Vehicle Crash Investigations and Event Reconstruction

05/15/2009
by   Serguei A. Mokhov, et al.
0

This paper further introduces and formalizes a novel concept of self-forensics for automotive vehicles, specified in the Forensic Lucid language. We argue that self-forensics, with the forensics taken out of the cybercrime domain, is applicable to "self-dissection" of intelligent vehicles and hardware systems for automated incident and anomaly analysis and event reconstruction by the software with or without the aid of the engineering teams in a variety of forensic scenarios. We propose a formal design, requirements, and specification of the self-forensic enabled units (similar to blackboxes) in vehicles that will help investigation of incidents and also automated reasoning and verification of theories along with the events reconstruction in a formal model. We argue such an analysis is beneficial to improve the safety of the passengers and their vehicles, like the airline industry does for planes.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/03/2021

Analysis of draft EU ADS Performance Requirements

Recently, the European Commission published draft regulation for uniform...
research
04/12/2018

On the Application of ISO 26262 in Control Design for Automated Vehicles

Research on automated vehicles has experienced an explosive growth over ...
research
07/22/2020

Validation Frameworks for Self-Driving Vehicles: A Survey

As a part of the digital transformation, we interact with more and more ...
research
05/16/2019

Are Automated Vehicles Safer than Manually Driven Cars?

Are automated vehicles really safer than manually driven vehicles? If so...
research
08/19/2022

Intersection Two-Vehicle Crash Scenario Specification for Automated Vehicle Safety Evaluation Using Sequence Analysis and Bayesian Networks

This paper develops a test scenario specification procedure using crash ...

Please sign up or login with your details

Forgot password? Click here to reset