Abstract: Accurate odometry is crucial for mapping and localization of autonomous vehicles in unknown environment. Deep neural networks have shown significant promise in self-supervised odometry, ...
Enhancing Indoor Mobile Robot Localization through the Integration of Multi-Sensor Fusion Algorithms
Abstract: This paper presents an innovative approach that combines visual odometry, Inertial Measurement Unit (IMU), and wheel odometry, using the Extended Kalman Filter and Unscented Kalman Filter to ...
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