Model-Based Trailer-Sway Suppression for Autonomous Passenge
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: Model-Based Trailer-Sway Suppression for Autonomous Vehicles. This study addresses trailer sway in autonomous vehicles using a linear quadratic regulator. A Kalman filter estimates trailer states from tow-vehicle sensors, improving yaw stability and reducing oscillation in simulati…
Generated from attributed reports · Updated 2 hours ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Environment: simulation
“a Kalman filter from measurements taken only on the tow vehicle. The controller is then implemented and evaluated in a MuJoCo multibody simulation across a range of longitudinal speeds and tongue-load conditions, including the negative-tongue-load regime. Results show a significant decrease in trailer oscillation when controlling a given vehicle's steering with an LQR using tow-vehicle IMU and LiDAR data. These findi”
Exact source · revision 1Source owner not reported
Control: reported autonomous
“Model-Based Trailer-Sway Suppression for Autonomous Passenger Vehicles”
Exact source · revision 1Source owner not reported
Report timeline
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- arXiv Robotics — research abstractsModel-Based Trailer-Sway Suppression for Autonomous Vehicles
This study addresses trailer sway in autonomous vehicles using a linear quadratic regulator. A Kalman filter estimates trailer states from tow-vehicle sensors, improving yaw stability and reducing oscillation in simulations.
Event coverage history
There is not enough continuous observation data to show a trend.
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