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 …
Testing, validation, and verification of robotic and autonomous systems: a systematic review
H Araujo, MR Mousavi, M Varshosaz - ACM Transactions on Software …, 2023 - dl.acm.org
We perform a systematic literature review on testing, validation, and verification of robotic
and autonomous systems (RAS). The scope of this review covers peer-reviewed research …
and autonomous systems (RAS). The scope of this review covers peer-reviewed research …
Simulation-based adversarial test generation for autonomous vehicles with machine learning components
Many organizations are developing autonomous driving systems, which are expected to be
deployed at a large scale in the near future. Despite this, there is a lack of agreement on …
deployed at a large scale in the near future. Despite this, there is a lack of agreement on …
Generating critical test scenarios for automated vehicles with evolutionary algorithms
M Klischat, M Althoff - 2019 IEEE Intelligent Vehicles …, 2019 - ieeexplore.ieee.org
Virtual testing of automated vehicles using simulations is essential during their development.
When it comes to the testing of motion planning algorithms, one is mainly interested in …
When it comes to the testing of motion planning algorithms, one is mainly interested in …
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 …
Requirements-driven test generation for autonomous vehicles with machine learning components
Autonomous vehicles are complex systems that are challenging to test and debug. A
requirements-driven approach to the development process can decrease the resources …
requirements-driven approach to the development process can decrease the resources …
Driver behavior modeling using game engine and real vehicle: A learning-based approach
As a good example of Advanced Driver-Assistance Systems (ADAS), Advisory Speed
Assistance (ASA) helps improve driving safety and possibly energy efficiency by showing …
Assistance (ASA) helps improve driving safety and possibly energy efficiency by showing …
End-to-end autonomous driving risk analysis: A behavioural anomaly detection approach
Autonomous vehicles (AV) have advanced considerably over the past decade and their
potential to reduce road accidents is without equal. That said, the evolution towards fully …
potential to reduce road accidents is without equal. That said, the evolution towards fully …
Sensor fusion of camera and cloud digital twin information for intelligent vehicles
With the rapid development of intelligent vehicles and Advanced Driving Assistance
Systems (ADAS), a mixed level of human driver engagements is involved in the …
Systems (ADAS), a mixed level of human driver engagements is involved in the …
[PDF][PDF] Cooperative ramp merging system: Agent-based modeling and simulation using game engine
Agent-based modeling and simulation (ABMS) has been a popular approach for modeling
autonomous and interacting agents in a multi-agent system. Specifically, ABMS can be …
autonomous and interacting agents in a multi-agent system. Specifically, ABMS can be …