A general deep learning based event camera data processing toolbox from Institude of Intelligent Vehicle at Tongji Univertsity.
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Updated
Aug 4, 2020 - Python
A general deep learning based event camera data processing toolbox from Institude of Intelligent Vehicle at Tongji Univertsity.
Fully Event-Inspired Visual Odometry, consisting of 1) Event-based Feature Tracker; 2) Monocular Visual Odometry based on feature tracks; 3) Motion Compensation of event images.
This repository contains a full documentation of several tests made on DHP19 dataset
3D reconstruction based on stereo event-camera data, 2020SoSe, TU Berlin
Code for "Lifting Monocular Events to 3D Human Poses" - CVPRw 2021
Multi-Hypothesis Asynchronous Tracking of Events. Alzugaray & Chli, BMVC 2020 / 3DV 2019
A labeled dataset from a subset of the MVSEC dataset for car detection at night driving conditions.
Reconstructing a depth map by from two DAVIS and a controlled laser.
A minimal implementation of TimeLens along with custom data for my final project in Computational Photography 15-463 F21
DDD20 End-to-End Event Camera Driving Dataset
Framework for visual tracking on event data by using E2VID and YOLO networks.
Augmentation of event-based machine learning dataset for image segmentation using noise injection
Calibration of Dynamic Vision Sensor (event camera) by correcting for lens distortion using OpenCV
How to Learn a Domain Adaptive Event Simulator? ACM MM, 2021
Real-Time Neural 3D Hand Pose Estimation from an Event Stream [ICCV 2021]
Research on Event Accumulator Settings for Event-Based SLAM
Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and signal conductance mechanisms. Neuromorphic processors can run spiking neural networks (SNNs) that mimic how biological neurons function, particularly by emulating the emission of electrical spikes. A key benefit o…
PRCV 2022: The FusionPortable-VSLAM Challenge
This the project folder for the paper `Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions'
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