Sensor Fusion and Advanced Controller for Connected and Automated Vehicles

Dear Colleagues,

For conventional on-road vehicles, due to a lack of adequate sensor information, vehicle dynamics controllers can only rely on the dedicated state estimators, such as the sideslip angle estimator and the velocity estimator. Sometimes the estimation results are not reliable due to the single estimator source. However, autonomous electric vehicles are equipped with a number of advanced sensors such as radar and cameras. The measurements of these additional sensors can be fused into the vehicle state estimators to build a sensor fusion system, which can lead to a large number of highly reliable estimated vehicle states. This enriched vehicle state information can be greatly beneficial to the complex integrated advanced controller design (such as path planning, a path-tracking controller, or integrated chassis control) for automated vehicles or automated vehicles in a connected vehicle platoon.

We welcome the submission of both review articles and original research papers relating the sensor fusion strategy design or vehicle dynamics controller design for connected and automated vehicles. There is a particular interest in papers focusing on how advanced controllers for autonomous vehicles can fully utilize the states estimated from sensor fusion systems to maximise the control performance of automated passenger vehicles or heavy vehicles.

Dr. Boyuan Li
Prof. Dr. Yafei Wang
Dr. Georgios Papaioannou
Dr. Haiping Du
Guest Editors

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