Safety assurance of automated driving systems must consider uncertain environment
perception. This paper reviews literature addressing how perception testing is realized as …

In this model, the induction motor speed control is based on torque control drive analysis of
the output power using Anticipating Power Impulse Technique (APIT). Induction motors are …

Transitioning between gravitational environments results in a central reinterpretation of
sensory information, producing an adapted sensorimotor state suitable for motor actions and …

Next-generation advanced driver-assistance systems (ADAS) and cooperative adaptive
cruise control (CACC) for advanced/autonomous driving are expected to increasingly use …

A static world assumption is often used when considering the simultaneous localization and
mapping (SLAM) problem. In reality, especially when long-term autonomy is the objective …

This paper considers the problem of fitting the parameters in a Kalman smoother to data. We
formulate the Kalman smoothing problem with missing measurements as a constrained least …

This paper presents a novel methodology to auto-tune an Unscented Kalman Filter (UKF). It
involves using a Two-Stage Bayesian Optimisation (TSBO), based on a t-Student Process to …

Bayesian filtering approximates the true underlying behavior of a time-varying system by
inverting an explicit generative model to convert noisy measurements into state estimates …

Controller tuning based on black-box optimization allows to automatically tune performance-
critical parameters wrt mostly arbitrary high-level closed-loop control objectives. However, a …

Robust and highly accurate position estimation in underground mines is investigated by
considering a vehicle equipped with 2D laser scanners. A survey of available methods to …