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C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
Lidar Obstacle Detection
The official code for our ECCV22 oral paper: tracking objects as pixel-wise distributions.
This is the official implementation of TransCenter (TPAMI). The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.
Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
Using the KITTI dataset, we employed Open3D to visualize, downsample, segment with RANSAC, cluster via DBSCAN, create 3D bounding boxes, and perform surface reconstruction on point clouds.
PyLidar2 is python 2 package to get data from Lidar devices from various manufacturers.