wf-hahaha Goto Github PK

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1_000-images-retrieval

Using BoW model to retrieval 1000 images

2d_srrn

Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies for Deployment in Unknown Environments

3d-boundingbox

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

3d-object-detection

A computer vision system was built to detect objects in an indoor scene using point clouds using a deep learning approach. PyTorch was used to implement QI et al’s state of the art, end to end object detection network called VoteNet. The system was able to detect, classify and put bounding boxes on objects from a stream of point clouds captured using an RGBD camera, the Asus Xtion Pro camera. The dataset used was SUN RGB-D indoor dataset. The Dataset was trained using an Adam optimizer with learning rate of 0.001 and evaluated. The model had an average precision 0.55 and average recall of 0.70 for IOU threshold of 0.25 and an average precision 0.31 and average recall of 0.44 for IOU threshold of 0.50.

3d-reconstruction-using-dense-optical-flow

3d-robot-localization-ros

3dline-slam

3DLines-SLAM: A Monocular Vision Semi-Dense 3D Reconstruction Based on ORB-SLAM Abstract-Producing high-quality 3D maps and calculating more accurate camera pose has always been the goal of SLAM technology. The requirements of SLAM technology such as real-time, low computational cost, and low hardware cost are contradictory to the above objectives. For the issues listed above, we propose a novel semi-dense reconstruction algorithm based on the monocular ORB-SLAM system by matching the line segment features extracted from keyframes. Specifically, we build upon ORB-SLAM, the system first provides a set of keyframes and their corresponding camera poses and a series of map points in real-time. Then we use our developed a keyframe re-culling algorithm to culling redundant keyframes. Then an improved line segment extraction method is used to extract line segments in each keyframe. Finally, we use purely geometric constraints to generates accurate 3D scene model by matching 2D line segments from different keyframes. We thoroughly evaluate and in-depth analysis of our approach, the results show our system runs steadily and reliably. Not only the whole system has strong robustness, but also it can quickly generate an accurate 3d model online with low computational costs.

3dm-gx3-imu-sensor---data-acquisition-source-code

3DM-GX3 IMU sensor - Data acquisition source code

3dm_gx3_25_single_byte

ROS data acquisition program for 3DM-GX3-25 IMU.

3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

3dsmoothnet

[CVPR19] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

3rscan

3RScan Toolkit

6-pack

"6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints" code repository

ab3dmot

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

abstract_map

A python implementation of the spring-dynamics based abstract map used in "Robot Navigation in Unseen Spaces using an Abstract Map"

active-orb-slam2

ORB SLAM2 with Active Planning

adop

aerial_mapper

Real-time Dense Point Cloud, Digital Surface Map (DSM) and (Ortho-)Mosaic Generation for UAVs

airvo

An Illumination-Robust Point-Line Visual Odometry

apollo

An open autonomous driving platform

asctec_mav_framework

Framework for data aquisition and position control to be used with the highlevel processor of Ascending Technologies helicopters

aslam_incremental_calibration

Incremental self calibration.

aslam_splines

B-spline implementations usable as design variables and expression sources for aslam_optimizer

attitude_estimator

A C++ implementation of a nonlinear 3D IMU fusion algorithm

autonomous-outdoor-scanning-via-online-topological-and-geometric-path-optimization

This is a simple version (based on ros gazebo) for outdoor mobile robot Husky to explore the unknown outdoor scenes.

autoware

Open-Source To Self-Driving.

bc_local_planner

Bezier Curves based Path Planning of Unmanned Ground Vehicle

bert-tickets

[NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin