龙笑泽's Projects
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
SLAM汇总,包括多传感器融合建图、定位、VIO系列、常用工具包、开源代码注释和公式推导、文章综述
高博的新书SLAM in Autonomous Driving book (SAD book)和深蓝学院课程《自动驾驶中的slam技术》第一期的课程笔记
The English version of 14 lectures on visual SLAM.
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
This is a unofficial fork of OpenVSLAM (https://github.com/xdspacelab/openvslam)
This project uses stereo vision to estimate the types and distances of objects from a vehicle driving on the road
Stereo vision based object detection for ADAS, autonomous vehicle
Plenoxels: Radiance Fields without Neural Networks, Code release WIP
一些论文或者代码以及markdown等工具的使用方法简介
VDO-SLAM: A Visual Dynamic Object-aware SLAM System
Using Perspective Transform to leverage bird's eye view (BEV) to estimate distance between objects.
Estimating distance to the nearest vehicle from the car dashboard camera
VIDO-SLAM is a Visual Inertial SLAM system for dynamic environments, and it can also estimate dynamic objects motion and track objects.
VINS-Fusion, VINS-Fisheye, and OpenVINS application of different sets of cameras and imu on different board including desktop and Jetson boards
VINS-Mono code without Ceres or ROS
visual odometry on KITTI dataset, Monocular 2D-2D and Stereo 2D-3D implemented
视觉slam(VSLAM):自己在学习视觉slam过程中的一些总结笔记。目前主要是学习高翔老师的《视觉slam十四讲》和《深蓝学院视觉slam理论与实践》课程笔记。后续会将一些slam其他开源项目总结到这里。
This is a project utilizing deep learning feature points in a visual SLAM system. The goal is to construct a prior map using deep learning-based feature points to ensure long-term stable localization in visual SLAM.
You Only Look at One Sequence (NeurIPS 2021)transformer
C++ project of Yolov4
yolov5-obj-distance-measure.You can change code in yolov5.