Recent Advances in Motion Control, Estimation, and Diagnosis for Automated Vehicles [From the Guest Editors]

The vehicle of the future is expected to be automated. High levels of vehicle automation are seen as enabling technologies to improve road safety and road utilization and to reduce air pollutant emissions. However, to make this happen, research communities still need to address several challenges. Vehicle automation requires information about the surrounding environment, road conditions, and vehicle states, which are difficult to accurately sense. This uncertain information creates challenges for safe and reliable decision making and control of vehicles, as well as for testing and validation. Additionally, with the increase in vehicle automation, the rate of utilization is expected to grow significantly—think of self-driving taxis or trucks operating 24/7. This will raise vehicles’ reliability demands, requiring effective mitigation strategies for resilient operation. This special issue (SI) brings together researchers working in this field to share their latest developments on control, estimation, and diagnosis.