Verification and validation methods for decision-making and planning of automated vehicles: A review
Verification and validation (V&V) hold a significant position in the research and development
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …
Software verification and validation of safe autonomous cars: A systematic literature review
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …
caused by humans on roads, such as accidents and traffic congestion. However, those …
Machine learning testing: Survey, landscapes and horizons
This paper provides a comprehensive survey of techniques for testing machine learning
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …
A survey on scenario-based testing for automated driving systems in high-fidelity simulation
Automated Driving Systems (ADSs) have seen rapid progress in recent years. To ensure the
safety and reliability of these systems, extensive testings are being conducted before their …
safety and reliability of these systems, extensive testings are being conducted before their …
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 …
BinFI an efficient fault injector for safety-critical machine learning systems
As machine learning (ML) becomes pervasive in high performance computing, ML has
found its way into safety-critical domains (eg, autonomous vehicles). Thus the reliability of …
found its way into safety-critical domains (eg, autonomous vehicles). Thus the reliability of …
An online learning framework for sensor fault diagnosis analysis in autonomous cars
This paper proposes a novel data-driven technique, namely Online Learning for sensor
Fault diagnosis Analysis (OLFA), to perform real-time fault analysis for autonomous cars …
Fault diagnosis Analysis (OLFA), to perform real-time fault analysis for autonomous cars …
Experimental resilience assessment of an open-source driving agent
AHM Rubaiyat, Y Qin… - 2018 IEEE 23rd Pacific rim …, 2018 - ieeexplore.ieee.org
Autonomous vehicles (AV) depend on the sensors like RADAR and camera for the
perception of the environment, path planning, and control. With the increasing autonomy …
perception of the environment, path planning, and control. With the increasing autonomy …
Kayotee: A fault injection-based system to assess the safety and reliability of autonomous vehicles to faults and errors
Fully autonomous vehicles (AVs), ie, AVs with autonomy level 5, are expected to dominate
road transportation in the near-future and contribute trillions of dollars to the global …
road transportation in the near-future and contribute trillions of dollars to the global …
Generating and characterizing scenarios for safety testing of autonomous vehicles
Extracting interesting scenarios from real-world data as well as generating failure cases is
important for the development and testing of autonomous systems. We propose efficient …
important for the development and testing of autonomous systems. We propose efficient …