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3d-iou-python

Small code to caculate the 3D IOU score and BEV score for 3D object detection

3d-ros-visualization-of-depth-maps

3D visualization of depth maps which are created by any depth model such as Monodepth, Packnet, etc..

ab3dmot

Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020, ECCVW 2020

anomaly-detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / One-Class SVM / PU Learning

avp-slam-sim

A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813

awesome-edge-detection-papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

awesome-slam-datasets

SLAM常见数据集汇总

awesome_pointcloud_process

cartographer_kitti_config

cartographer configuration files for KITTI dataset including .lua and .launch

ciwt

This repository contains code for the tracking system as described in ''Combined Image- and World-Space Tracking in Traffic Scenes'', ICRA 2017.

co-planar-parametrization

darknet

AlexeyAB-DarkNet源码解析

drl_graph_exploration

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

edge_alignment

distance transform based image edge alignment

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

fuse

The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.

gcnv2_slam

Real-time SLAM system with deep features

git_flow_test

git_flow introduction and exercise

gmmloc

GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Model

gmmpointsetregistration

ITK based implementation of the robust point set registration algorithms

graph_slam

Graph SLAM: VO, IMU Preintegration, Plane

gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

gtsam-examples

GTSAM Tutorial Examples

hierarchical-localization

Visual localization made easy

hypertun-sr

Implementation of "High-Performance and Tunable Stereo Reconstruction". Origin repo: https://gitlab.com/jdiep/high-performance-and-tunable-stereo-reconstruction

iforest

Implementation of Isolation Forest

imu_x_fusion

IMU + X(GNSS, VO) Loose Fusion Localization based on ESKF

kcf

High-Speed Tracking with Kernelized Correlation Filters

lane_extractor

A Project to detect a lane from the pointcloud map, for make vector map (extarct lane)

larvio

A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.