Learning Dense and Continuous Optical Flow from an Event Camera (TIP 2022)

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

A non-learning geometry-based LiDAR depth completion model with components including outlier removal, normal calculation, distance transform, etc. IEEE Robotics and Automation Letters

Multi-Modal Fusion of Event and RGB for Monocular Depth Estimation Using Transformer

Code and datasets for the paper "Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction" (RA-L, 2021)

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

CVPRW 2021: How to calibrate your event camera

Camera and inertial measurement unit (IMU) data logger for Android and iOS

Official Devkit for the KITTI Depth Prediction/Completion Benchmark 2017

ROS driver for Prophesee event-based sensors

Stereo Camera Calibration Under Different Resolution

projects of computer vision

Stable Diffusion web UI

A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

SDK developed to access data from RADIATE dataset

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Source code for AEDNet paper from ACMMM 2022

Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).

Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding"

Unofficial implemention of lanenet model for real time lane detection

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Apply our monocular depth boosting to your own network!