911wb,bin.wei,github

This work contains a modified version of cartographer_frontier_detection and rrt_exploration. We implement an active exploration process and improve its robustness and performance. More details are described in the paper "Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration" (IROS2020).

agile_autonomy

Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

astar-jps-algorithm

Implementation of A* and JPS algorithms in ROS

automerge_server

AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments

autoplace

Implementation for the paper: AutoPlace: Robust Place Recognition with Single-chip Automotive Radar

autowarearchitectureproposal.proj

This is the source code of the feasibility study for Autoware architecture proposal.

awesome-lidar-camera-calibration

A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes

backgroundmattingv2

Real-Time High-Resolution Background Matting

blocknerfpytorch

1. Weekly NeRF literature with Chinese translations. 2. Non-official implementation of Block-NeRF in Pytorch. 3. Train your NeRF city in the wild.

bundletrack

[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.