robust control design of vehicles addresses the effect of uncertainties on the vehicle’s performance. in present study, the robust optimal multi-objective controller design on a non-linear full vehicle dynamic model with 8-degrees of freedom having parameter with probabilistic uncertainty considering two simultaneous conflicting objective functions has been made to prevent the rollover. the obj...

Object detection in autonomous driving applications implies the and tracking of semantic objects that are commonly native to urban environments, as pedestrians vehicles. One major challenges state-of-the-art deep-learning based object false positives which occur with overconfident scores. This is highly undesirable other critical robotic-perception domains because safety concerns. paper propose...