DeepAI AI Chat
Log In Sign Up

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

by   Serguei A. Mokhov, et al.
Concordia University

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.


page 1

page 2

page 3

page 4


Analysis of draft EU ADS Performance Requirements

Recently, the European Commission published draft regulation for uniform...

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

Research on automated vehicles has experienced an explosive growth over ...

Validation Frameworks for Self-Driving Vehicles: A Survey

As a part of the digital transformation, we interact with more and more ...

Are Automated Vehicles Safer than Manually Driven Cars?

Are automated vehicles really safer than manually driven vehicles? If so...