Know the unknowns: Addressing disturbances and uncertainties in autonomous systems
… To tackle the increase of the number of integer variables with tighter refinement, we bridge
the propagation-based method and the programmingbased method by dividing and sliding …
the propagation-based method and the programmingbased method by dividing and sliding …
Determinants of an appropriate degree of autonomy in a cyber-physical production system
N Gronau - Procedia Cirp, 2016 - Elsevier
… Therefore new definitions of autonomy are useful that … approaches to define the autonomy
of a production system are presented: a descriptive approach and an approach which is based …
of a production system are presented: a descriptive approach and an approach which is based …
Defining ship autonomy by characteristic factors
ØJ Rødseth - … international conference on maritime autonomous …, 2019 - sintef.brage.unit.no
… This will not generally be possible with the new control functions and a more risk based
approach will be necessary. This has also been recognized by, eg DNV GL [13] and Class NK […
approach will be necessary. This has also been recognized by, eg DNV GL [13] and Class NK […
[PDF][PDF] Credible autonomy safety argumentation
P Koopman, A Kane, J Black - 27th Safety-Critical Systems …, 2019 - users.ece.cmu.edu
… of general approaches that we have seen used in practice or proposed for use in autonomous
… More importantly, we discuss the typical threats to validity we see in safety cases that have …
… More importantly, we discuss the typical threats to validity we see in safety cases that have …
[图书][B] Autonomous driving: how the driverless revolution will change the world
A Herrmann, W Brenner, R Stadler - 2018 - emerald.com
… The project-oriented way of thinking and acting must at some point give way to the
lifecycle-oriented method. As well as this cultural challenge, software architecture should be …
lifecycle-oriented method. As well as this cultural challenge, software architecture should be …
A penalty method based approach for autonomous navigation using nonlinear model predictive control
B Hermans, P Patrinos, G Pipeleers - IFAC-PapersOnLine, 2018 - Elsevier
… predictive control strategy for controlling autonomous motion systems moving through an …
the destination, the approach employs a quadratic penalty method to enforce the obstacle …
the destination, the approach employs a quadratic penalty method to enforce the obstacle …
[HTML][HTML] A comprehensive survey on the application of deep and reinforcement learning approaches in autonomous driving
… learning based approaches; it does not include conventional (shallow) shallow based …
bring solutions to the four main issues in autonomous driving. Finally, this survey highlights …
bring solutions to the four main issues in autonomous driving. Finally, this survey highlights …
Navigating occluded intersections with autonomous vehicles using deep reinforcement learning
… to more fully understand the scene. In addition to having better task efficiency and success
rates than the rule based method, we identify occlusions as a fail case for rule based methods …
rates than the rule based method, we identify occlusions as a fail case for rule based methods …
Scene understanding in deep learning-based end-to-end controllers for autonomous vehicles
… -to-end controllers understand the driving scenarios. First, … based end-to-end steering
controller for autonomous vehicles. Then, a feature map-based framework and an error map-based …
controller for autonomous vehicles. Then, a feature map-based framework and an error map-based …
A collision avoidance decision-making system for autonomous ship based on modified velocity obstacle method
W Shaobo, Z Yingjun, L Lianbo - Ocean Engineering, 2020 - Elsevier
… designed for autonomous ship. The system outputs collision avoidance decisions based on
… Based on modified velocity obstacle method, the multistage optimization decision model is …
… Based on modified velocity obstacle method, the multistage optimization decision model is …