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Fast Monocular Depth Estimation System by jimmygagan is a document available to read on EtoBox.

The paper presents FastDepth, a lightweight encoder-decoder network for real-time monocular depth estimation on embedded systems, achieving 178 fps on an NVIDIA Jetson TX2 GPU. It employs network pruning and depthwise separable convolutions to reduce computational complexity while maintaining accuracy comparable to state-of-the-art methods. FastDepth is designed to meet the demands of robotic applications, enabling efficient depth sensing for tasks like localization and obstacle detection.

Author
jimmygagan
Language
EN