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; …
Automatic generation of safety-critical test scenarios for collision avoidance of road vehicles
M Althoff, S Lutz - 2018 IEEE Intelligent Vehicles Symposium …, 2018 - ieeexplore.ieee.org
It is apparent that one cannot rely solely on physical test drives for ensuring the correct
functionality of autonomous vehicles. Since physical test drives are costly and time …
functionality of autonomous vehicles. Since physical test drives are costly and time …
Rapidly-exploring random trees for testing automated vehicles
CE Tuncali, G Fainekos - 2019 IEEE Intelligent Transportation …, 2019 - ieeexplore.ieee.org
One of the expectations from fully or partially automated vehicles is to never cause an
accident and actively avoid dangerous situations. However, an automated vehicle may not …
accident and actively avoid dangerous situations. However, an automated vehicle may not …
Genetic algorithm-based test parameter optimization for ADAS system testing
F Klück, M Zimmermann, F Wotawa… - 2019 IEEE 19th …, 2019 - ieeexplore.ieee.org
In this paper, we outline the use of a genetic algorithm for test parameter optimization in the
context of autonomous and automated driving. Our approach iteratively optimizes test …
context of autonomous and automated driving. Our approach iteratively optimizes test …
Fitness functions for testing automated and autonomous driving systems
F Hauer, A Pretschner, B Holzmüller - Computer Safety, Reliability, and …, 2019 - Springer
Functional specifications and real drive data are typically used to derive parameterized
scenarios for scenario-based testing of driving systems. The domains of the parameters …
scenarios for scenario-based testing of driving systems. The domains of the parameters …
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 …
Did we test all scenarios for automated and autonomous driving systems?
To ensure safety and functional correctness of automated and autonomous driving systems,
virtual scenario-based testing is used. Experts derive traffic scenario types and generate …
virtual scenario-based testing is used. Experts derive traffic scenario types and generate …
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 …
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 …
Fundamental considerations around scenario-based testing for automated driving
The homologation of automated vehicles, being safety-critical complex systems, requires
sound evidence for their safe operability. Traditionally, verification and validation activities …
sound evidence for their safe operability. Traditionally, verification and validation activities …