Deep Learning-Based Approach for Autonomous Vehicle Localization: Application and Experimental Analysis
Norbert Markó,
Ernő Horváth,
István Szalay
et al.
Abstract:In a vehicle, wheel speed sensors and inertial measurement units (IMUs) are present onboard, and their raw data can be used for localization estimation. Both wheel sensors and IMUs encounter challenges such as bias and measurement noise, which accumulate as errors over time. Even a slight inaccuracy or minor error can render the localization system unreliable and unusable in a matter of seconds. Traditional algorithms, such as the extended Kalman filter (EKF), have been applied for a long time in non-linear sy… Show more
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