changhao-chen/deep-learning-localization-mapping
A collection of deep learning based localization models
This collection helps robotics engineers, autonomous vehicle developers, and drone operators accurately track movement and build maps using various sensor data. It takes inputs from cameras, LiDAR, and inertial sensors (like accelerometers and gyroscopes) to determine an object's precise location and create detailed environmental maps. The output is a robust understanding of position and a rich spatial map of the surroundings, essential for navigation and interaction.
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Use this if you need to understand and implement advanced deep learning techniques for precise object localization and environmental mapping in robotics or autonomous systems.
Not ideal if you are looking for an out-of-the-box software solution for general-purpose navigation without delving into the underlying deep learning models.
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Mar 13, 2024
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