English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Fully autonomous vehicles (AVs), i.e., AVs with autonomy level 5, areexpected to dominate road transportation in the near-future and contributetrillions of dollars to the global economy. The general public, governmentorganizations, and manufacturers all have significant concern regardingresiliency and safety standards of the autonomous driving system (ADS) of AVs .In this work, we proposed and developed (a) `Kayotee' - a fault injection-basedtool to systematically inject faults into software and hardware components ofthe ADS to assess the safety and reliability of AVs to faults and errors, and(b) an ontology model to characterize errors and safety violations impactingreliability and safety of AVs. Kayotee is capable of characterizing faultpropagation and resiliency at different levels - (a) hardware, (b) software,(c) vehicle dynamics, and (d) traffic resilience. We used Kayotee to study aproprietary ADS technology built by Nvidia corporation and are currentlyapplying Kayotee to other open-source ADS systems.

Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors