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 …
LawBreaker: An approach for specifying traffic laws and fuzzing autonomous vehicles
Autonomous driving systems (ADSs) must be tested thoroughly before they can be deployed
in autonomous vehicles. High-fidelity simulators allow them to be tested against diverse …
in autonomous vehicles. High-fidelity simulators allow them to be tested against diverse …
PhysCov: physical test coverage for autonomous vehicles
Adequately exercising the behaviors of autonomous vehicles is fundamental to their
validation. However, quantifying an autonomous vehicle's testing adequacy is challenging …
validation. However, quantifying an autonomous vehicle's testing adequacy is challenging …
From Collision to Verdict: Responsibility Attribution for Autonomous Driving Systems Testing
Autonomous driving systems (ADS) are safety-critical systems that require thorough testing
to ensure their safety. Current testing methods for ADS primarily focus on finding crash …
to ensure their safety. Current testing methods for ADS primarily focus on finding crash …
Coverage-guided fuzz testing for cyber-physical systems
Fuzz testing is an indispensable test-generation tool in software security. Fuzz testing uses
automated directed randomness to explore a variety of execution paths in software, trying to …
automated directed randomness to explore a variety of execution paths in software, trying to …
RLaGA: A Reinforcement Learning Augmented Genetic Algorithm For Searching Real and Diverse Marker-Based Landing Violations
Automated landing for Unmanned Aerial Vehicles (UAVs), like multirotor drones, requires
intricate software encompassing control algorithms, obstacle avoidance, and machine …
intricate software encompassing control algorithms, obstacle avoidance, and machine …
HIFuzz: Human Interaction Fuzzing for Small Unmanned Aerial Vehicles
Small Unmanned Aerial Systems (sUAS) must meet rigorous safety standards when
deployed in high-stress emergency response scenarios; however many reported accidents …
deployed in high-stress emergency response scenarios; however many reported accidents …
What to Check: Systematic Selection of Transformations for Analyzing Reliability of Machine Vision Components
BC Hu, L Marsso, K Czarnecki… - 2022 IEEE 33rd …, 2022 - ieeexplore.ieee.org
Machine Vision Components (MVCs) are deployed in safety-critical systems, such as
autonomous driving, and their reliability must be checked against scene changes, eg, rain …
autonomous driving, and their reliability must be checked against scene changes, eg, rain …
VioHawk: Detecting Traffic Violations of Autonomous Driving Systems through Criticality-Guided Simulation Testing
As highlighted in authoritative standards (eg, ISO21448), traffic law compliance is a
fundamental prerequisite for the commercialization of autonomous driving systems (ADS) …
fundamental prerequisite for the commercialization of autonomous driving systems (ADS) …
SCTrans: Constructing a Large Public Scenario Dataset for Simulation Testing of Autonomous Driving Systems
For the safety assessment of autonomous driving systems (ADS), simulation testing has
become an important complementary technique to physical road testing. In essence …
become an important complementary technique to physical road testing. In essence …