Roll Angle Estimation of a Motorcycle through Inertial Measurements [PDF]
Currently, the interest in creating autonomous driving vehicles and progressively more sophisticated active safety systems is growing enormously, being a prevailing importance factor for the end user when choosing between either one or another commercial
Diego Maceira +4 more
doaj +8 more sources
A Sensor Fusion Method Based on an Integrated Neural Network and Kalman Filter for Vehicle Roll Angle Estimation [PDF]
This article presents a novel estimator based on sensor fusion, which combines the Neural Network (NN) with a Kalman filter in order to estimate the vehicle roll angle.
Leandro Vargas-Meléndez +4 more
doaj +4 more sources
Real-Time Vehicle Roll Angle Estimation Based on Neural Networks in IoT Low-Cost Devices [PDF]
The high rate of vehicle-crash victims has a fatal economic and social impact in today’s societies. In particular, road crashes where heavy vehicles are involved cause more severe damage because they are prone to rollover.
Javier García Guzmán +4 more
doaj +4 more sources
Deep Learning-Based Hybrid Approach for Vehicle Roll Angle Estimation
Existing methods for vehicle roll angle estimation, which often based on control theory and rule-based design, face challenges in maintaining estimation accuracy across various driving scenarios, such as parking tower driving and rollovers.
Kunhee Cho, Hyeongcheol Lee
doaj +4 more sources
Extended Kalman filter-based robust roll angle estimation method for spinning vehicles [PDF]
Attitude measurement is a basic technique for monitoring vehicle motion states and safety. The spin motion of a vehicle couples the attitude angles with each other, which has an impact on the navigation and control of the vehicle.
Lu Feng +5 more
doaj +2 more sources
Design of Enhanced Rotation Locked Loop for Roll Angle Estimation of Rotating Vehicle in a Weak GPS Signal Environment [PDF]
In order to estimate the roll angle of a rotating vehicle, an enhanced rotation locked loop (RLL) algorithm is proposed in this paper. The RLL algorithm estimates the roll angle by using the property that the power of the GPS signal measured at the ...
Hun Cheol Im +2 more
doaj +2 more sources
Iterative roll angle estimation from dense disparity map [PDF]
The v-disparity map is predominantly used to estimate the parameters of the vertical profile of the road surface. Once the road surface is modelled, an object that lies away from it can be detected and determined as either an obstacle or a pothole. The accuracy of this estimation is largely affected by the clarity of the v-disparity map which can be ...
Naim Dahnoun, Rui Fan
exaly +4 more sources
A Robust Roll Angle Estimation Algorithm Based on Gradient Descent [PDF]
5 pages, six figures, 2019 ...
, Lujia Wang, Rui Fan
exaly +3 more sources
Assessing Trajectories and Bike Handling Abilities in Road Cycling with Global Positioning System Data [PDF]
In road cycling, developing bike handling skills can prevent crashes and falls. Nevertheless, bike handling remains largely unexplored in the world of road cycling.
Andrea Zignoli
doaj +2 more sources
Abstract : The ROM (roll over mitigation) system is a next-generation suspension system that can improve vehicle- driving stability and ride comfort. Currently, mass-produced safety systems, such as ESC (electronic stability control) and ECS (electronic control suspension), enable measurements of longitudinal and lateral acceleration as well as yaw ...
Seunghwan Chung, Hyeongcheol Lee
exaly +3 more sources

