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Julian Kunze's Projects

3d-moments icon 3d-moments

Code for CVPR 2022 paper '3D Moments from Near-Duplicate Photos'

k-kissme icon k-kissme

kernelized large-scale metric learning from equivalence constraints

lego-loam icon lego-loam

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

lio-sam icon lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

megastep icon megastep

megastep helps you build 1-million FPS reinforcement learning environments on a single GPU

mengeutils icon mengeutils

Collection of utilities for working with Menge configuration and output files

potential_fields_based_obstacle_avoidance icon potential_fields_based_obstacle_avoidance

This code can be used on a mobile robot for avoiding obstacles. This code was originally written for use with a Summit XL mobile robot from Robotnik using laser readings as the means for determining obstacles. However it can be configured to be used for any mobile robot using either laser and/or sonar readings. It is based on the use of a potential

python-rvo2 icon python-rvo2

Optimal Reciprocal Collision Avoidance, Python bindings

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