Av-fuzzer: Finding safety violations in autonomous driving systems
This paper proposes AV-FUZZER, a testing framework, to find the safety violations of an
autonomous vehicle (AV) in the presence of an evolving traffic environment. We perturb the …
autonomous vehicle (AV) in the presence of an evolving traffic environment. We perturb the …
Neural network guided evolutionary fuzzing for finding traffic violations of autonomous vehicles
Self-driving cars and trucks, autonomous vehicles (av s), should not be accepted by
regulatory bodies and the public until they have much higher confidence in their safety and …
regulatory bodies and the public until they have much higher confidence in their safety and …
Quality metrics and oracles for autonomous vehicles testing
G Jahangirova, A Stocco… - 2021 14th IEEE conference …, 2021 - ieeexplore.ieee.org
The race for deploying AI-enabled autonomous vehicles (AVs) on public roads is based on
the promise that such self-driving cars will be as safe as or safer than human drivers …
the promise that such self-driving cars will be as safe as or safer than human drivers …
Hands off the wheel in autonomous vehicles?: A systems perspective on over a million miles of field data
Autonomous vehicle (AV) technology is rapidly becoming a reality on US roads, offering the
promise of improvements in traffic management, safety, and the comfort and efficiency of …
promise of improvements in traffic management, safety, and the comfort and efficiency of …
Avfi: Fault injection for autonomous vehicles
Autonomous vehicle (AV) technology is rapidly becoming a reality on US roads, offering the
promise of improvements in traffic management, safety, and the comfort and efficiency of …
promise of improvements in traffic management, safety, and the comfort and efficiency of …
Generating avoidable collision scenarios for testing autonomous driving systems
Automated and autonomous driving systems (ADS) are a transformational technology in the
mobility sector. Current practice for testing ADS uses virtual tests in computer simulations; …
mobility sector. Current practice for testing ADS uses virtual tests in computer simulations; …
Targeting requirements violations of autonomous driving systems by dynamic evolutionary search
Autonomous Driving Systems (ADSs) are complex systems that must satisfy multiple
requirements such as safety, compliance to traffic rules, and comfortableness. However …
requirements such as safety, compliance to traffic rules, and comfortableness. However …
Specification-based autonomous driving system testing
Autonomous vehicle (AV) systems must be comprehensively tested and evaluated before
they can be deployed. High-fidelity simulators such as CARLA or LGSVL allow this to be …
they can be deployed. High-fidelity simulators such as CARLA or LGSVL allow this to be …
Vulnerability-oriented fuzz testing for connected autonomous vehicle systems
LJ Moukahal, M Zulkernine… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In an era of connectivity and automation, the vehicle industry is adopting numerous
technologies to transform driver-centric vehicles into intelligent mechanical devices driven …
technologies to transform driver-centric vehicles into intelligent mechanical devices driven …
Ml-based fault injection for autonomous vehicles: A case for bayesian fault injection
The safety and resilience of fully autonomous vehicles (AVs) are of significant concern, as
exemplified by several headline-making accidents. While AV development today involves …
exemplified by several headline-making accidents. While AV development today involves …