Calibration and Improvement of an Odometry Model with Dynamic Wheel and Lateral Dynamics Integration
Localization is a key part of an autonomous system, such as a self-driving car. The main sensor for the task is the GNSS, however its limitations can be eliminated only by integrating other methods, for example wheel odometry, which requires a well-calibrated model. This paper proposes a novel wheel...
Main Authors: | Máté Fazekas, Péter Gáspár, Balázs Németh |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/2/337 |
Similar Items
-
Visual-Inertial-Wheel Odometry with Slip Compensation and Dynamic Feature Elimination
by: Niraj Reginald, et al.
Published: (2025-03-01) -
FT‐LVIO: Fully Tightly coupled LiDAR‐Visual‐Inertial odometry
by: Zhuo Zhang, et al.
Published: (2023-05-01) -
Nonuniform Dual-Rate Extended Kalman-Filter-Based Sensor Fusion for Path-Following Control of a Holonomic Mobile Robot with Four Mecanum Wheels
by: Ricardo Pizá, et al.
Published: (2022-03-01) -
Systematic Odometry Error Evaluation and Correction in a Human-Sized Three-Wheeled Omnidirectional Mobile Robot Using Flower-Shaped Calibration Trajectories
by: Jordi Palacín, et al.
Published: (2022-03-01) -
RNGC-VIWO: Robust Neural Gyroscope Calibration Aided Visual-Inertial-Wheel Odometry for Autonomous Vehicle
by: Meixia Zhi, et al.
Published: (2023-08-01)