Modelling Individual Driver Trajectories to Personalise Haptic Shared Steering Control in Curves

Road safety is still a challenging issue. In 2020, 1.35 million people have died as a result of traffic accidents, where the number one cause of death for young adults between the age of 5 and 29 is car accidents. In an attempt to improve road safety, the automotive industry has developed numerous types of Advanced Driver Assistance Systems ...

Dual-axis manual control: Performance degradation, axis asymmetry, crossfeed, and intermittency

Vehicle control tasks require simultaneous control of multiple degrees-of-freedom. Most multi-axis human-control modeling is limited to the modeling of multiple fully independent single axes. This paper contributes to the understanding of multi-axis control behavior and draws a more realistic and complete picture of dual-axis manual control....

Complementing Haptic Shared Control with visual feedback for obstacle avoidance

For automated vehicles (SAE Level 2-3) part of the challenge lies in communicating to the driver what control actions the automation is taking and will take, and what its capabilities are. A promising approach is haptic shared control (HSC), which uses continuous torques on the steering wheel to communicate the automation’s current control...

A new haptic shared controller reducing steering conflicts

When drivers have opposing intentions to a haptic shared controller which, like the driver, can continuously control the vehicle through torques on the steering wheel, the driver has to fight against the controller torque to reach their goal. This phenomenon is called haptic shared control (steering) conflicts and are a reason for drivers to...

A method to assess individualized driver models: Descriptiveness, Identifiability and Realism

Investigating the Difference Between Single and Dual Axis Manual Control

Aircraft manual control tasks require simultane- ous control of multiple degrees-of-freedom. Unfortunately, most multi-axis human-operator modeling is limited to the modeling of multiple fully-independent axis. Therefore our goal is to contribute to the understanding of multi-axis manual control behaviour and develop a more realistic picture of...

Effects of preview time on human control behavior in rate tracking tasks

In many practical control tasks, human controllers (HC) can preview the trajectory they must follow in the near future. This paper investigates the effects of the length of previewed target trajectory, or preview time, on HC behavior in rate tracking tasks. To do so, a human-in-the-loop experiment was performed, consisting of a combined target...

Human crossfeed in dual-axis manual control with motion feedback

While many realistic manual control tasks require human operators to control multiple degrees-of-freedomsimultaneously, our understanding of such multi-axis manual control has not moved far beyond considering it simply as the control of multiple fully-independent axes. This investigation aims to further our understanding of multi-axis control by...