areslp

FILD

Fast and Incremental Loop closure Detection

ai-imu-dr

AI-IMU Dead-Reckoning

camera_calibration

Accurate geometric camera calibration with generic camera models

d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

dash_script

DeeperInverseCompositionalAlgorithm

Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)

DeepMapping

code/webpage for the DeepMapping project

DIoU

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

Easy-Ipm-Client

An easy, interface friendly cross-platform client to generate bird's view images using inverse perspective mapping methods proposed in paper "Adaptive Inverse Perspective Mapping for Lane Map Generation with SLAM"

fast-depth

ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

FasterSeg

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

GMS-Feature-Matcher

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 2017)

habitat-sim

A flexible, high-performance 3D simulator for Embodied AI research.

hardnet

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

imips_open

Matching Features Without Descriptors: Implicitly Matched Interest Points

IMUCalibration-Gesture

calibration for Imu and show gesture

Key.Net

Code for the ICCV19 paper Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters

LiDAR-GTA-V

A plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.

lio-mapping

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

open_vins

An open source platform for visual-inertial navigation research.

OpenARK

OpenARK is an open-source wearable augmented reality (AR) system founded at UC Berkeley in 2016. The C++ based software offers innovative core functionalities to power a wide range of off-the-shelf AR components, including see-through glasses, depth cameras, and IMUs.

PointRCNN

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.

PPGNet

Source code for our CVPR 2019 paper - PPGNet: Learning Point-Pair Graph for Line Segment Detection

pulp-dronet

A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP

pytorch-superglue

SuperGlue: Learning Feature Matching with Graph Neural Networks

se2lam

Visual-Odometric On-SE(2) Localization and Mapping (ICRA 2019)

sips2_open

Succinct Interest Points from Unsupervised Inlierness Probability Learning

SIVO

SIVO - Semantically Informed Visual Odometry and Mapping. Integrated Bayesian semantic segmentation with ORBSLAM_2 to select better features for Visual SLAM.

Unsupervised-Parking-Lot-Detection

unsupervised_detection

An Unsupervised Learning Framework for Moving Object Detection From Videos