Using Euclidiean Clustering and RANSAC to detect Objects in Lidar captured Point Clouds (PCDs)
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Oct 6, 2019 - C++
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lidar-sensors
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Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS
point-cloud tf2 ros lidar pcl icp pcl-library lidar-point-cloud point-cloud-registration iterative-closest-point lidar-calibration lidar-sensors ros-tf-library ros-tf lidar-sensors-calibration point-cloud-alignment message-filters ros-message-filters pcl-registration ros-tf2
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Aug 23, 2021 - C++
Kalman filters are good at taking noisy sensor data and smoothing out the data to make more accurate predictions.
machine-learning localization datastructures radar jupyter-notebook velocity prediction data-visualization python3 lidar signal vehicle kalman-filter object-oriented-programming lidar-sensors
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Updated
Oct 9, 2024 - Jupyter Notebook
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