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Maciej's Projects

3f8 icon 3f8

The first chapters of an online textbook to support the 3F8 Inference course.

a-loam icon a-loam

Advanced implementation of LOAM

acmnet icon acmnet

Adaptive Context-Aware Multi-Modal Network for Depth Completion

cae-lo icon cae-lo

Convolutional Auto-Encoder based LiDAR Odometry

conslam icon conslam

ConSLAM: Construction Dataset for SLAM

deeplidar icon deeplidar

Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image

depth-completion icon depth-completion

Official pytorch implementation of "Indoor Depth Completion with Boundary Consistency and Self-Attention. Huang et al. RLQ@ICCV 2019."

extrinsic_lidar_camera_calibration icon extrinsic_lidar_camera_calibration

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

guidenet icon guidenet

Implementation for our paper 'Learning Guided Convolutional Network for Depth Completion'

gygax icon gygax

Construction IT research platform for 2D & 3D

kornia icon kornia

Open Source Differentiable Computer Vision Library for PyTorch

lbfgspp icon lbfgspp

A header-only C++ library for L-BFGS and L-BFGS-B algorithms

lego-loam icon lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

lidar_camera_calibration icon lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for http://arxiv.org/abs/1705.09785

loam_velodyne icon loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

maplab icon maplab

An open visual-inertial mapping framework.

nlspn_eccv20 icon nlspn_eccv20

Park et al., Non-Local Spatial Propagation Network for Depth Completion, ECCV, 2020

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