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Events cameras are ideal sensors for enabling robots to detect and track objects in highly dynamic environments due to their low latency output, high temporal resolution, and high dynamic range. In this paper, we present the Asynchronous…

Computer Vision and Pattern Recognition · Computer Science 2025-12-15 Angus Apps , Ziwei Wang , Vladimir Perejogin , Timothy Molloy , Robert Mahony

Event camera is an asynchronous, high frequency vision sensor with low power consumption, which is suitable for human action recognition task. It is vital to encode the spatial-temporal information of event data properly and use standard…

Computer Vision and Pattern Recognition · Computer Science 2020-09-29 Chaoxing Huang

Event cameras are a new type of sensors that are different from traditional cameras. Each pixel is triggered asynchronously by event. The trigger event is the change of the brightness irradiated on the pixel. If the increment or decrement…

Computer Vision and Pattern Recognition · Computer Science 2022-03-24 Kun Xiao , Guohui Wang , Yi Chen , Jinghong Nan , Yongfeng Xie

We present a novel real-time visual odometry framework for a stereo setup of a depth and high-resolution event camera. Our framework balances accuracy and robustness against computational efficiency towards strong performance in challenging…

Robotics · Computer Science 2022-02-08 Yi-Fan Zuo , Jiaqi Yang , Jiaben Chen , Xia Wang , Yifu Wang , Laurent Kneip

Event cameras capture changes of illumination in the observed scene rather than accumulating light to create images. Thus, they allow for applications under high-speed motion and complex lighting conditions, where traditional framebased…

Computer Vision and Pattern Recognition · Computer Science 2021-12-21 Vincent Brebion , Julien Moreau , Franck Davoine

Providing high data rates is one of the big concerns in visible light communication (VLC) systems. This paper introduces a data centre design that use a VLC system for downlink communication. In this work, RYGB laser diodes (LD) are used as…

Signal Processing · Electrical Eng. & Systems 2019-03-30 Osama Zwaid Alsulami , Mohamed O. I. Musa , Mohammed T. Alresheedi , Jaafar M. H. Elmirghani

High-speed vision sensing is essential for real-time perception in applications such as robotics, autonomous vehicles, and industrial automation. Traditional frame-based vision systems suffer from motion blur, high latency, and redundant…

Computer Vision and Pattern Recognition · Computer Science 2025-07-10 Riadul Islam , Joey Mulé , Dhandeep Challagundla , Shahmir Rizvi , Sean Carson

Integrated sensing and communication (ISAC) is a promising paradigm for future wireless systems due to spectrum reuse, hardware sharing, and joint waveform design. In dynamic scenes, Doppler shifts degrade both sensing and communication,…

Signal Processing · Electrical Eng. & Systems 2025-12-04 Yuan Liu , Wen-Xuan Long , M. R. Bhavani Shankar , Marco Moretti , Rui Chen , Björn Ottersten

Smart lighting is an underlying concept that links three main aspects: solid-state lighting (SSL) technologies, advanced control and universal communication interfaces following global standards. However, this conceptualization is…

Computers and Society · Computer Science 2018-09-05 Jorge Higuera , Aleix Llenas , Josep Carreras

Event cameras are novel bio-inspired sensors, which asynchronously capture pixel-level intensity changes in the form of "events". The innovative way they acquire data presents several advantages over standard devices, especially in poor…

Computer Vision and Pattern Recognition · Computer Science 2021-11-01 Mirco Planamente , Chiara Plizzari , Marco Cannici , Marco Ciccone , Francesco Strada , Andrea Bottino , Matteo Matteucci , Barbara Caputo

Recent video semantic segmentation (VSS) methods have demonstrated promising results in well-lit environments. However, their performance significantly drops in low-light scenarios due to limited visibility and reduced contextual details.…

Computer Vision and Pattern Recognition · Computer Science 2026-01-29 Zhen Yao , Mooi Choo Chuah

Event cameras are rapidly emerging as powerful vision sensors for 3D reconstruction, uniquely capable of asynchronously capturing per-pixel brightness changes. Compared to traditional frame-based cameras, event cameras produce sparse yet…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Chuanzhi Xu , Haoxian Zhou , Langyi Chen , Haodong Chen , Zeke Zexi Hu , Zhicheng Lu , Ying Zhou , Vera Chung , Qiang Qu , Weidong Cai

In the evolving landscape of 6G networks, semantic communications are poised to revolutionize data transmission by prioritizing the transmission of semantic meaning over raw data accuracy. This paper presents a Vision Transformer…

Image and Video Processing · Electrical Eng. & Systems 2025-03-24 Muhammad Ahmed Mohsin , Muhammad Jazib , Zeeshan Alam , Muhmmad Farhan Khan , Muhammad Saad , Muhammad Ali Jamshed

Modern vehicles are equipped with various driver-assistance systems, including automatic lane keeping, which prevents unintended lane departures. Traditional lane detection methods incorporate handcrafted or deep learning-based features…

Computer Vision and Pattern Recognition · Computer Science 2021-12-01 Farzeen Munir , Shoaib Azam , Moongu Jeon , Byung-Geun Lee , Witold Pedrycz

This paper presents a novel beacon light coding protocol, which enables fast and accurate identification of the beacons in an image. The protocol is provably robust to a predefined set of detection and decoding errors, and does not require…

Computer Vision and Pattern Recognition · Computer Science 2020-04-23 Roman Rabinovich , Ibrahim Jubran , Aaron Wetzler , Ron Kimmel

Event-based cameras are raising interest within the computer vision community. These sensors operate with asynchronous pixels, emitting events, or "spikes", when the luminance change at a given pixel since the last event surpasses a certain…

Computer Vision and Pattern Recognition · Computer Science 2023-05-18 Javier Cuadrado , Ulysse Rançon , Benoît Cottereau , Francisco Barranco , Timothée Masquelier

Event cameras are a paradigm shift in camera technology. Instead of full frames, the sensor captures a sparse set of events caused by intensity changes. Since only the changes are transferred, those cameras are able to capture quick…

Computer Vision and Pattern Recognition · Computer Science 2017-03-22 Christian Reinbacher , Gottfried Munda , Thomas Pock

As an alternative sensing paradigm, dynamic vision sensors (DVS) have been recently explored to tackle scenarios where conventional sensors result in high data rate and processing time. This paper presents a hybrid event-frame approach for…

Computer Vision and Pattern Recognition · Computer Science 2022-05-11 Vivek Mohan , Deepak Singla , Tarun Pulluri , Andres Ussa , Pradeep Kumar Gopalakrishnan , Pao-Sheng Sun , Bharath Ramesh , Arindam Basu

Event cameras are motion-activated sensors that capture pixel-level illumination changes instead of the intensity image with a fixed frame rate. Compared with the standard cameras, it can provide reliable visual perception during high-speed…

Computer Vision and Pattern Recognition · Computer Science 2023-09-27 Weipeng Guan , Peiyu Chen , Yuhan Xie , Peng Lu

Event-based cameras can overpass frame-based cameras limitations for important tasks such as high-speed motion detection during self-driving cars navigation in low illumination conditions. The event cameras' high temporal resolution and…

Computer Vision and Pattern Recognition · Computer Science 2022-01-31 Haixin Sun , Minh-Quan Dao , Vincent Fremont
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