ethz-asl Goto Github PK

.github

3d3l

Deep Learned Keypoint Detection and Description for 3D LiDARs

3d_vsg

3D Variable Scene Graphs for long-term semantic scene change prediction.

3dsnet

3DSNet: Unsupervised Shape-to-shape 3D Style Transfer

aass_icr

abb_experimental

ROS-Industrial abb experimental meta-package. http://ros.org/wiki/abb_experimental

abseil_catkin

active_grasp

Closed-loop next-best view planning for grasp detection in clutter.

active_learning_for_segmentation

aerial_mapper

Real-time Dense Point Cloud, Digital Surface Map (DSM) and (Ortho-)Mosaic Generation for UAVs

aerial_renderer

ai_for_robotics

Programming Exercises Accompanying the Lecture "Artificial Intelligence for Robotics"

airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

amr_visualisations

Simple python animated examples for the planning segment of the Autonomous Mobile Robots lecture slides

analog_gauge_reader

Open framework for reading analog gauges, deployable on real world robotic systems

approxmvbb

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

approxmvbb_catkin

A catkinized version of the ApproxMVBB library.

artefact_mapping

Detection, tracking, and mapping of object artefacts

asctec_mav_framework

Framework for data aquisition and position control to be used with the highlevel processor of Ascending Technologies helicopters

asl-actions

Github Actions for ASL

asl-phd-templates

Templates for PhD students at ASL (research plan etc.)

asl-student-templates

Templates and overview information for student projects at ASL

asl_cmake_modules

CMake scripts for building catkin packages.

aslam_cv2

aslam_incremental_calibration

Incremental self calibration.

aslam_optimizer

Optimizer classes for aslam_cv, kalibr, aslam_incremental_calibration, ..

aslam_sample_consensus

An adaptation of the *SAC implementation from PCL

aslam_splines

B-spline implementations usable as design variables and expression sources for aslam_optimizer

asldoc-2018-aeroconf-oettershagen

autolabel

A project for computing high-quality ground truth training examples for RGB-D data.