Test and evaluation (T&E) of autonomous vehicles presents a challenge as the vehicles may have emergent behavior and it is frequently difficult/impossible to ascertain the reason for software decisions. Requiring the need for T&E during the complete lifecycle of a vehicle’s development and fielding, requiring T&E after deployment due to emergent behavior and software updates. A software framework has been developed to support the development of autonomous software such that it can be tested during the complete lifecycle, migrating through the virtuality/reality spectrum. The paper demonstrates the application of simulated/virtual reality/augmented reality/physical environments to test and evaluate the sense, plan, and act phases of an auton...
One of the significant open challenges is the lack of verification and validation approaches for ass...
The paper presents a tool develop to provide a general purpose testbed to validate the design, to si...
Offline model-level testing of autonomous driving software is much cheaper, faster, and diversified ...
Climate change and the need for renewable energy are driving the development of electric and hybrid ...
Test & Evaluation of autonomous vehicles presents a challenge as the vehicles may have emergent beha...
Abstract—Developing control and perception algorithms for au-tonomous vehicle is a time-consuming ac...
Automated Vehicles (AV) that are currently being developed, have to be assessed whether they are abl...
Final ReportIn this project, we developed an integrated solution for autonomous vehicle testing, in ...
Virtualization technologies have become common- place both in software development as well as engine...
Perception Testing technologies are widely applied in various scenarios, like industrial and academi...
Augmented reality technology is applied so that driving tests may be performed in various environmen...
In order to facilitate acceptance and ensure safety, autonomous vehicles must be tested not only in ...
Software-in-the-Loop simulation has become an inevitable part of testing in the process of autonomou...
Software for autonomous systems is hard to test, given their complex reactions as well as safety-cri...
It is widely recognized that simulation is pivotal to vehicle development, whether manned or unmanne...
One of the significant open challenges is the lack of verification and validation approaches for ass...
The paper presents a tool develop to provide a general purpose testbed to validate the design, to si...
Offline model-level testing of autonomous driving software is much cheaper, faster, and diversified ...
Climate change and the need for renewable energy are driving the development of electric and hybrid ...
Test & Evaluation of autonomous vehicles presents a challenge as the vehicles may have emergent beha...
Abstract—Developing control and perception algorithms for au-tonomous vehicle is a time-consuming ac...
Automated Vehicles (AV) that are currently being developed, have to be assessed whether they are abl...
Final ReportIn this project, we developed an integrated solution for autonomous vehicle testing, in ...
Virtualization technologies have become common- place both in software development as well as engine...
Perception Testing technologies are widely applied in various scenarios, like industrial and academi...
Augmented reality technology is applied so that driving tests may be performed in various environmen...
In order to facilitate acceptance and ensure safety, autonomous vehicles must be tested not only in ...
Software-in-the-Loop simulation has become an inevitable part of testing in the process of autonomou...
Software for autonomous systems is hard to test, given their complex reactions as well as safety-cri...
It is widely recognized that simulation is pivotal to vehicle development, whether manned or unmanne...
One of the significant open challenges is the lack of verification and validation approaches for ass...
The paper presents a tool develop to provide a general purpose testbed to validate the design, to si...
Offline model-level testing of autonomous driving software is much cheaper, faster, and diversified ...