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Unlike standard cameras that send intensity images at a constant frame rate, event-driven cameras asynchronously report pixel-level brightness changes, offering low latency and high temporal resolution (both in the order of micro-seconds).…

Computer Vision and Pattern Recognition · Computer Science 2021-06-30 Valentina Vasco , Arren Glover , Elias Mueggler , Davide Scaramuzza , Lorenzo Natale , Chiara Bartolozzi

This paper presents a real-time method to detect and track multiple mobile ground robots using event cameras. The method uses density-based spatial clustering of applications with noise (DBSCAN) to detect the robots and a single…

Computer Vision and Pattern Recognition · Computer Science 2021-08-04 Himanshu Patel , Craig Iaboni , Deepan Lobo , Ji-won Choi , Pramod Abichandani

Spatial convolution is arguably the most fundamental of 2D image processing operations. Conventional spatial image convolution can only be applied to a conventional image, that is, an array of pixel values (or similar image representation)…

Computer Vision and Pattern Recognition · Computer Science 2019-02-11 Cedric Scheerlinck , Nick Barnes , Robert Mahony

This paper presents EROAM, a novel event-based rotational odometry and mapping system that achieves real-time, accurate camera rotation estimation. Unlike existing approaches that rely on event generation models or contrast maximization,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-30 Wanli Xing , Shijie Lin , Linhan Yang , Zeqing Zhang , Yanjun Du , Maolin Lei , Yipeng Pan , Chen Wang , Jia Pan

Event-based vision sensors, such as the Dynamic Vision Sensor (DVS), are ideally suited for real-time motion analysis. The unique properties encompassed in the readings of such sensors provide high temporal resolution, superior sensitivity…

Computer Vision and Pattern Recognition · Computer Science 2020-01-14 Anton Mitrokhin , Cornelia Fermuller , Chethan Parameshwara , Yiannis Aloimonos

This paper presents a new event-based method for detecting and tracking features from the output of an event-based camera. Unlike many tracking algorithms from the computer vision community, this process does not aim for particular…

Computer Vision and Pattern Recognition · Computer Science 2018-11-20 Laurent Dardelet , Sio-Hoi Ieng , Ryad Benosman

The development of aerial autonomy has enabled aerial robots to fly agilely in complex environments. However, dodging fast-moving objects in flight remains a challenge, limiting the further application of unmanned aerial vehicles (UAVs).…

Robotics · Computer Science 2021-03-12 Botao He , Haojia Li , Siyuan Wu , Dong Wang , Zhiwei Zhang , Qianli Dong , Chao Xu , Fei Gao

Event-based data are commonly encountered in edge computing environments where efficiency and low latency are critical. To interface with such data and leverage their rich temporal features, we propose a causal spatiotemporal convolutional…

Computer Vision and Pattern Recognition · Computer Science 2024-06-18 Yan Ru Pei , Sasskia Brüers , Sébastien Crouzet , Douglas McLelland , Olivier Coenen

Object pose tracking is a fundamental and essential task for robotics to perform tasks in the home and industrial settings. The most commonly used sensors to do so are RGB-D cameras, which can hit limitations in highly dynamic environments…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Zhichao Li , Chiara Bartolozzi , Lorenzo Natale , Arren Glover

The importance of depth perception in the interactions that humans have within their nearby space is a well established fact. Consequently, it is also well known that the possibility of exploiting good stereo information would ease and, in…

Robotics · Computer Science 2015-09-24 Giulia Pasquale , Tanis Mar , Carlo Ciliberto , Lorenzo Rosasco , Lorenzo Natale

Event cameras offer microsecond latency, high dynamic range, and low power consumption, making them ideal for real-time robotic perception under challenging conditions such as motion blur, occlusion, and illumination changes. However,…

Robotics · Computer Science 2025-08-26 Krishna Vinod , Prithvi Jai Ramesh , Pavan Kumar B N , Bharatesh Chakravarthi

Event sensors offer high temporal resolution visual sensing, which makes them ideal for perceiving fast visual phenomena without suffering from motion blur. Certain applications in robotics and vision-based navigation require 3D perception…

Computer Vision and Pattern Recognition · Computer Science 2024-05-13 Ethan Elms , Yasir Latif , Tae Ha Park , Tat-Jun Chin

Event cameras, which are asynchronous bio-inspired vision sensors, have shown great potential in computer vision and artificial intelligence. However, the application of event cameras to object-level motion estimation or tracking is still…

Computer Vision and Pattern Recognition · Computer Science 2020-09-21 Haosheng Chen , David Suter , Qiangqiang Wu , Hanzi Wang

Event-based cameras (EBCs) are a promising new technology for star tracking-based attitude determination, but prior studies have struggled to determine accurate ground truth for real data. We analyze the accuracy of an EBC star tracking…

Computer Vision and Pattern Recognition · Computer Science 2025-09-11 Dennis Melamed , Connor Hashemi , Scott McCloskey

In this paper, an event-based tracker is presented. Inspired by recent advances in asynchronous processing of individual events, we develop a direct matching scheme that aligns spatial distributions of events at different times. More…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Maria Zafeiri , Georgios Evangelidis , Emmanouil Psarakis

Object pose tracking is one of the pivotal technologies in multimedia, attracting ever-growing attention in recent years. Existing methods employing traditional cameras encounter numerous challenges such as motion blur, sensor noise,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-25 Zibin Liu , Banglei Guan , Yang Shang , Shunkun Liang , Zhenbao Yu , Qifeng Yu

The $\ell_1$ tracker obtains robustness by seeking a sparse representation of the tracking object via $\ell_1$ norm minimization \cite{Xue_ICCV_09_Track}. However, the high computational complexity involved in the $ \ell_1 $ tracker…

Computer Vision and Pattern Recognition · Computer Science 2010-12-14 Hanxi Li , Chunhua Shen , Qinfeng Shi

Table tennis robots gained traction over the last years and have become a popular research challenge for control and perception algorithms. Fast and accurate ball detection is crucial for enabling a robotic arm to rally the ball back…

Robotics · Computer Science 2025-02-04 Andreas Ziegler , Thomas Gossard , Arren Glover , Andreas Zell

Event cameras have garnered considerable attention due to their advantages over traditional cameras in low power consumption, high dynamic range, and no motion blur. This paper proposes a monocular event-inertial odometry incorporating an…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Kai Tang , Xiaolei Lang , Yukai Ma , Yuehao Huang , Laijian Li , Yong Liu , Jiajun Lv

This paper proposes a novel approach for detecting objects using mobile robots in the context of the RoboCup Standard Platform League, with a primary focus on detecting the ball. The challenge lies in detecting a dynamic object in varying…

Computer Vision and Pattern Recognition · Computer Science 2023-09-08 Arne Moos
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