Lars Drugge

According to our database, Lars Drugge authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Occupants' Motion Comfort and Driver's Feel: An Explorative Study About Their Relation in Remote Driving.

Georgios Papaioannou, Lin Zhao, Mikael Nybacka, Jenny Jerrelind, Riender Happee, Lars Drugge

IEEE Trans. Intell. Transp. Syst., September, 2024

The Influence of Motion-Cueing, Sound and Vibration Feedback on Driving Behavior and Experience - A Virtual Teleoperation Experiment.

Lin Zhao, Mikael Nybacka, Lars Drugge, Malte Rothhämel, Azra Habibovic, Henrik Hvitfeldt

IEEE Trans. Intell. Transp. Syst., August, 2024

Reducing Tyre Wear Emissions of Automated Articulated Vehicles through Trajectory Planning.

Georgios Papaioannou, Vallan Maroof, Jenny Jerrelind, Lars Drugge

Sensors, May, 2024

Driving Experience and Behavior Change in Remote Driving: An Explorative Experimental Study.

Lin Zhao, Mikael Nybacka, Malte Rothhämel, Azra Habibovic, Georgios Papaioannou, Lars Drugge

IEEE Trans. Intell. Veh., February, 2024

2023

Motion comfort and driver feel: An explorative study about their relation in remote driving.

Georgios Papaioannou, Lin Zhao, Mikael Nybacka, Jenny Jerrelind, Riender Happee, Lars Drugge

CoRR, 2023

2021

Assessment of optimal passive suspensions regarding motion sickness mitigation in different road profiles and sitting conditions.

Georgios Papaioannou, Jenny Jerrelind, Lars Drugge, Barys N. Shyrokau

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

A study on skyhook-based suspension control algorithms with regards to tyre wear minimisation in hybrid vehicles.

Georgios Papaioannou, Jenny Jerrelind, Lars Drugge

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Evaluating Model Predictive Path Following and Yaw Stability Controllers for Over-Actuated Autonomous Electric Vehicles.

Wenliang Zhang, Zhenpo Wang, Lars Drugge, Mikael Nybacka

IEEE Trans. Veh. Technol., 2020

Cut-in Critical Level Prediction via Simulation Based Time-to-Collision Algorithm.

Yunhao Hu, Mian Dai, Kui Wang, Lars Drugge

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

2019

Advanced Vehicle State Monitoring: Evaluating Moving Horizon Estimators and Unscented Kalman Filter.

Wenliang Zhang, Zhenpo Wang, Changfu Zou, Lars Drugge, Mikael Nybacka

IEEE Trans. Veh. Technol., 2019