Stars
Release repo for our SLAM Handbook
💼 portfolio website showcasing selected works
Reinforcement Learning for real-time applications
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
Python package for the evaluation of odometry and SLAM
RSVP speed reader, written in python.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Tips and tricks to optimize your C++ code
Behavior Trees Library in C++. Batteries included.
A ROS implementation of ORB_SLAM2
Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).
Single Headed Attention RNN - "Stop thinking with your head"
An open source platform for visual-inertial navigation research.
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Interactive Map Correction for 3D Graph SLAM
ROS package for basic navigation to a goal without obstacle avoidance.
ROS package for a 2D path planner using the Rapidly Exploring Random Trees (RRT) algorithm
A large scale non-linear optimization library
Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS
A list of references on lidar point cloud processing for autonomous driving
Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image (CVPR 2019)
Real-Time 3D Semantic Reconstruction from 2D data
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.