3 papers
eess.SP2020
Learning to Localise Automated Vehicles in Challenging Environments using Inertial Navigation Systems (INS)
Uche Onyekpe, Vasile Palade, Stratis Kanarachos
An algorithm based on Artificial Neural Networks is proposed in this paper to improve the accuracy of Inertial Navigation System (INS)/ Global Navigation Satellite System (GNSS) in…
math.OC2019
Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem
Uche Onyekpe, Stratis Kanarachos, Michael E. Fitzpatrick
Over the past decade, several researchers have presented various optimisation algorithms for use in truss design. The no free lunch theorem implies that no optimisation algorithm f…
cs.LG2019
Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification
Felix Batsch, Alireza Daneshkhah, Madeline Cheah +2
Safety is an essential aspect in the facilitation of automated vehicle deployment. Current testing practices are not enough, and going beyond them leads to infeasible testing requi…