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cudnn's Projects

dynamic-vins icon dynamic-vins

[RA-L 2022] RGB-D Inertial Odometry for a Resource-restricted Robot in Dynamic Environments

fastmot icon fastmot

High-performance multiple object tracking based on YOLOv3/v4, Deep SORT, and optical flow

gaas icon gaas

Generalized Aviation: Open source autonomous aviation and drone intelligence software platform, designed for drones and VTOLs.

gisnav icon gisnav

Estimates airborne drone global position by matching video to map retrieved from onboard GIS server.

glpdepth icon glpdepth

GLPDepth PyTorch Implementation: Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth

gmflownet icon gmflownet

Global Matching with Overlapping Attention for Optical Flow Estimation, CVPR 2022

hr-depth icon hr-depth

[AAAI 2021] HR-Depth : High Resolution Self-Supervised Depth Estimation

jmavlib icon jmavlib

Java library for MAV applications (MAVLink, PX4)

jmavsim icon jmavsim

Simple multirotor simulator with MAVLink protocol support

kp3d icon kp3d

Code for "Self-Supervised 3D Keypoint Learning for Ego-motion Estimation"

libs icon libs

Common libraries and modules

lio-livox icon lio-livox

A Robust LiDAR-Inertial Odometry for Livox LiDAR

lio-sam icon lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

liteflownet3 icon liteflownet3

LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020

lsddemo icon lsddemo

Android LSD demo (jniLibs are from lsd_slam https://github.com/striversist/lsd_slam.git)

lvi-sam icon lvi-sam

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

lvi-sam-livox icon lvi-sam-livox

https://s3.us-west-2.amazonaws.com/secure.notion-static.com/f5eac8aa-dba4-48c5-a7c6-920a1dde82af/%E5%AA%92%E4%BD%931.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIAT73L2G45EIPT3X45%2F20220702%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20220702T022320Z&X-Amz-Expires=86400&X-Amz-Signature=428e1b1cf9723b384a63695713ef3a2189f26045c340c8e1b209f7377240b239&X-Amz-SignedHeaders=host&response-content-disposition=filename%20%3D%22%25E5%25AA%2592%25E4%25BD%25931.mp4%22&x-id=GetObject

manydepth icon manydepth

[CVPR 2021] Self-supervised depth estimation from short sequences

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