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[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.
a subset of coco dataset for faster experimentation
[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
PyTorch implementation of Gaussian YOLOv3 (including training code for COCO dataset)
LaTex Poster for TOM-Net (CVPR 2018)
VIDO-SLAM is a Visual Inertial SLAM system for dynamic environments, and it can also estimate dynamic objects motion and track objects.
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments
Multiple object tracking (MOT) algorithm implemented in C++
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
Code for our paper titled: "A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving"
Visual Inertial Odometry using SuperPoint and GTSAM
Tools for benchmarking different Visual-Inertial Odometry solutions
The code for this repository will be up shortly, tentatively after 1st March (IROS 2021 Deadline). Till then enjoy the result teaser below
Lightweight Python library for adding real-time multi-object tracking to any detector.
[IROS-21] RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments (Code & Dataset)
OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications
robintzeng / EECS568_team_14_open_vins
Forked from rpng/open_vinsAn open source platform for visual-inertial navigation research.
Openvins with the learning based feature extractor -- Superpoint
A collection of resources on modern C++
VO and VIO pipelines for pose estimation with a quad-rotor
A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch
gradslam is an open source differentiable dense SLAM library for PyTorch