Stereo Depth from Events Cameras: Concentrate and Focus on the Future

Author:

Nam Yeongwoo1,Mostafavi Mohammad2,Yoon Kuk-Jin3,Choi Jonghyun4

Affiliation:

1. Saige Research

2. Lunit

3. KAIST

4. NAVER AI Lab.

Funder

MSIT

Publisher

IEEE

Reference49 articles.

1. Neuromorphic Stereo Vision: A Survey of Bio-Inspired Sensors and Algorithms

2. Channel-wise Knowledge Distillation for Dense Prediction

3. Asynchronous Stereo Vision for Event-Driven Dynamic Stereo Sensor Using an Adaptive Cooperative Approach

4. Pytorch: An imperative style, high-performance deep learning library;paszke;Advances in neural information processing systems,2019

5. A spiking neural network model of 3d perception for event-based neuromorphic stereo vision systems;osswald;Scientific Reports,2017

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1. Recent Advances in Bio-Inspired Vision Sensor: A Review;Journal of Circuits, Systems and Computers;2024-07-10

2. EVI‐SAM: Robust, Real‐Time, Tightly‐Coupled Event–Visual–Inertial State Estimation and 3D Dense Mapping;Advanced Intelligent Systems;2024-07-05

3. Poster: Profiling Event Vision Processing on Edge Devices;Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services;2024-06-03

4. An Image Reconstruction Method on Brightness Constancy for Event Data;2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC);2024-05-24

5. Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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