Parameter Identification of a Planetary Rover Wheel–Soil Contact Model via a Bayesian Approach
Lernen eines modularen Bayesian Autonomus Driver Mixture-of-Behavior (BAD MoB) Modells
Software V&V support by parametric analysis of large software simulation systems
Probability based vehicle fault diagnosis: Bayesian network method
Neural networks deterioration models for serviceability condition of buried stormwater pipes
Lane change intent analysis using robust operators and sparse Bayesian learning
Design of location system for an underwater autonomous robot
Driver behavior and situation aware brake assistance for intelligent vehicles
Toward verification and validation of adaptive aircraft controllers
Probabilistic neural networks for infrared imaging target discrimination
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
The application of Dempster-Shafer theory for landmine detection
Intelligent sensor management to minimize detection error
New initial basic probability assignments for multiple classifiers