Pinned Repositories
360SD-Net
Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
3D-point-capsule-networks
3D Point Capsule Networks
3D-Reconstruction-with-Deep-Learning-Methods
List of projects for 3d reconstruction
A-TVSNet
Code for "A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation"
Adaptive_Fusion_RGBD_Saliency_Detection
code for "Adaptive Fusion for RGB-D Salient Object Detection"
ADAS
ADAS高级辅助驾驶的一些项目源码，包括LDW车道偏离预警、前车起步提醒等
avoidance
PX4 avoidance ROS node for obstacle detection and avoidance.
awesome-3D-vision
3D computer vision incuding SLAM，VSALM，Deep Learning，Structured light，Stereo，Three-dimensional reconstruction，Computer vision，Machine Learning and so on
PlaceRecognition-LoopDetection
Light-weight place recognition and loop detection using road markings
rtabmap
RTAB-Map library and standalone application
chaobo521's Repositories
chaobo521/3D-Reconstruction-with-Deep-Learning-Methods
List of projects for 3d reconstruction
chaobo521/Adaptive_Fusion_RGBD_Saliency_Detection
code for "Adaptive Fusion for RGB-D Salient Object Detection"
chaobo521/appsmith
Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API.
chaobo521/Awesome-Diffusion-Model-Based-Image-Editing-Methods
Diffusion Model-Based Image Editing: A Survey (arXiv)
chaobo521/Awesome-LiDAR-Camera-Calibration
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
chaobo521/awesome-NeRF
A curated list of awesome neural radiance fields papers
chaobo521/awesome-robotics-datasets
A collection of useful datasets for robotics and computer vision
chaobo521/darknet_ros
YOLO ROS: Real-Time Object Detection for ROS
chaobo521/EAO-SLAM
[IROS 2020] EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
chaobo521/FGD
Focal and Global Knowledge Distillation for Detectors (CVPR 2022)
chaobo521/floam
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)
chaobo521/graphtransformer
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
chaobo521/ground_based_autonomy_basic
Autonomous Navigation and Collision Avoidance for Ground Robots
chaobo521/meshroom
3D Reconstruction Software
chaobo521/nice-slam
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
chaobo521/nuscenes-devkit
The devkit of the nuScenes dataset.
chaobo521/occupancy_networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
chaobo521/Past-and-present-small-object-detection
Latest paper about small object detection
chaobo521/pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, PRNet, RESA, LSTR, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
chaobo521/r3live
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
chaobo521/RNW
This is the official repository for Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark (ICCV 2021).
chaobo521/SegmentationMapping
chaobo521/self-supervised-depth-completion
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
chaobo521/SLING
Last-Mile Embodied Visual Navigation https://jbwasse2.github.io/portfolio/SLING/
chaobo521/stereocameradistance
chaobo521/StereoDistance
chaobo521/synboost
Paper implementation of SynBoost
chaobo521/Transformer_STR
PyTorch implementation of my new method for Scene Text Recognition (STR) based on Transformer,Equipped with Transformer, this method outperforms the best model of the aforementioned deep-text-recognition-benchmark by 7.6% on CUTE80.
chaobo521/VIDO-SLAM
VIDO-SLAM is a Visual Inertial SLAM system for dynamic environments, and it can also estimate dynamic objects motion and track objects.
chaobo521/YOLOS
You Only Look at One Sequence (NeurIPS 2021)