- Yu-Ju Chiu·Last edited by Yu-Ju Chiu on Jun 6, 2024Linked with GitHubContributed by
Wait and Replan Approach for Conflict Resolution in Traffic Control of Multiple Automatic Guided Vehicles
tags: AGV, ROBOTICS, path planning
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Object Detection (Feature Pyramid Network)
A Feature Pyramid Network, or FPN, is a feature extractor that takes a single-scale image of an arbitrary size as input, and outputs proportionally sized feature maps at multiple levels, in a fully convolutional fashion. This process is independent of the backbone convolutional architectures. It therefore acts as a generic solution for building feature pyramids inside deep convolutional networks to be used in tasks like object detection.
Jun 13, 2024Aligning Point Cloud Views with Point Feature Histograms
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Jun 6, 2024Practical Implementation and Optimization of Shadow Detection and Removal
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Jun 6, 2024Panoramic Stitching
Getting started %matplotlib inline import cv2 import random import numpy as np import matplotlib.pyplot as plt from google.colab.patches import cv2_imshow ]: %%capture ! wget -O img1.jpg "https://drive.google.com/uc?,→export=download&id=1omMydL6ADxq_vW5gl_1EFhdzT9kaMhUt" ! wget -O img2.jpg "https://drive.google.com/uc?,→export=download&id=12lxB1ArAlwGn97XgBgt-SFyjE7udMGvf"
Jun 6, 2024
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