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4lidar

3d point cloud segmentation algorithms using good old PCL (http://pointclouds.org/)

99lidars

Distributed software to detect vehicular objects from LIDAR data in real time. Master Thesis project.

a-cnn

a-fast-and-robust-object-detection-and-identification-method-by-fusing-3d-lidar-and-camera-sensors

a-loam

Advanced implementation of LOAM

a-multiple-feature-reuse-network-to-extract-buildings-from-remote-sensing-imagery

Python implementation of Convolutional Neural Network (CNN) used in paper

a-novel-cnn

A Novel CNN architecture for Real-time Point Cloud Feature Recognition in Road Environment

a-scn

Attentional ShapeContextNet for Point Cloud Recognition

a-two-branch-cnn-architecture-for-land-cover-classification-of-pan-and-ms-imagery

Python implementation of Convolutional Neural Network proposed in academic paper

ab3dmot

Official python implementation for "A Baseline for 3D Multi-Object Tracking"

abc-dataset

ABC: A Big CAD Model Dataset For Geometric Deep Learning

acnet

ACNet: Attention Complementary Network for RGBD semantic segmentation

acnn

Code for the paper "Learning shape correspondence with anisotropic convolutional neural networks"

actionlib-enhanced

Provides a standardized interface for interfacing with preemptable tasks. Examples of this include moving the base to a target location, performing a laser scan and returning the resulting point cloud, detecting the handle of a door, etc. http://www.ros.org/wiki/actionlib

actionlib-enhanced-release

Provides a standardized interface for interfacing with preemptable tasks. Examples of this include moving the base to a target location, performing a laser scan and returning the resulting point cloud, detecting the handle of a door, etc. http://www.ros.org/wiki/actionlib

active-learning

activelearning

Software and documentation from the active learning project on interactive classification.

activelearning-1

Active Learning for text classification using scikit-learn

adaptationseg

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

adaptive-filter

Adaptive local noise reduction filter

adaptive-filtering

An implementation of the most common Adaptive Signal Processing Algorithms often used for time-series prediction and noise filtering/cancellation

adaptive-mesh-refinement-for-smoothed-boundary-method

Progress through determining the adaptive mesh refinement for smooth boundary layers

adaptive_clustering

A lightweight and accurate point cloud clustering method

adaptive_fusion_rgbd_saliency_detection

code for "Adaptive Fusion for RGB-D Salient Object Detection"

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

add_gaussian_noise_to_point_cloud

Add Gaussian noise to point cloud

add_noise_to_point_cloud

Add three types of noises to point cloud

advanced-lane-detection

An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.

advanced_lane_line_finding

Solution for advanced lane line finding

adversarial-point-perturbations-on-3d-objects

New distributional and shape attacks on neural networks that process 3D point cloud data.