Intention-Based Lane Changing and Lane Keeping Haptic Guidance Steering System
Zhanhong Yan, Kaiming Yang, Zheng Wang, Bo Yang, Tsutomu Kaizuka,, Kimihiko Nakano

TL;DR
This paper presents an intention-based haptic steering system that improves lane changing assistance by detecting driver intentions and adapting control, enhancing safety and maneuver stability in simulated driving scenarios.
Contribution
It introduces a novel intention detection and adaptive control method for shared steering assistance, addressing limitations in existing haptic guidance systems.
Findings
Reduced lane departure risk in lane keeping tasks
Supported fast and stable lane changing maneuvers
Demonstrated effectiveness in driving simulator experiments
Abstract
Haptic guidance in a shared steering assistance system has drawn significant attention in intelligent vehicle fields, owing to its mutual communication ability for vehicle control. By exerting continuous torque on the steering wheel, both the driver and support system can share lateral control of the vehicle. However, current haptic guidance steering systems demonstrate some deficiencies in assisting lane changing. This study explored a new steering interaction method, including the design and evaluation of an intention-based haptic shared steering system. Such an intention-based method can support both lane keeping and lane changing assistance, by detecting a driver lane change intention. By using a deep learning-based method to model a driver decision timing regarding lane crossing, an adaptive gain control method was proposed for realizing a steering control system. An intention…
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Taxonomy
TopicsHuman-Automation Interaction and Safety · Traffic and Road Safety · Autonomous Vehicle Technology and Safety
