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Related papers: Star Tracking using an Event Camera

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Star trackers are state-of-the-art attitude estimation devices which function by recognising and tracking star patterns. Most commercial star trackers use conventional optical sensors. A recent alternative is to use event sensors, which…

Computer Vision and Pattern Recognition · Computer Science 2019-10-22 Samya Bagchi , Tat-Jun Chin

This paper presents a method for determining spacecraft angular rates using event-based camera sensing. This is achieved by analyzing the temporal distribution of brightness events triggered by the apparent motion of stars. The location and…

Systems and Control · Electrical Eng. & Systems 2025-12-16 Vittorio Franzese , Matteo El Hariry

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

Computer Vision and Pattern Recognition · Computer Science 2022-03-28 Kun Xiao , Pengju Li , Guohui Wang , Zhi Li , Yi Chen , Yongfeng Xie , Yuqiang Fang

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

Visual object tracking under challenging conditions of motion and light can be hindered by the capabilities of conventional cameras, prone to producing images with motion blur. Event cameras are novel sensors suited to robustly perform…

Computer Vision and Pattern Recognition · Computer Science 2022-12-16 Irene Perez-Salesa , Rodrigo Aldana-Lopez , Carlos Sagues

Event-based sensors (EBS) are a promising new technology for star tracking due to their low latency and power efficiency, but prior work has thus far been evaluated exclusively in simulation with simplified signal models. We propose a novel…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Albert W Reed , Connor Hashemi , Dennis Melamed , Nitesh Menon , Keigo Hirakawa , Scott McCloskey

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

We present a method that leverages the complementarity of event cameras and standard cameras to track visual features with low-latency. Event cameras are novel sensors that output pixel-level brightness changes, called "events". They offer…

Computer Vision and Pattern Recognition · Computer Science 2019-01-21 Daniel Gehrig , Henri Rebecq , Guillermo Gallego , Davide Scaramuzza

As an emerging approach to space situational awareness and space imaging, the practical use of an event-based camera in space imaging for precise source analysis is still in its infancy. The nature of event-based space imaging and data…

Signal Processing · Electrical Eng. & Systems 2022-11-21 Nicholas Owen Ralph , Alexandre Marcireau , Saeed Afshar , Nicholas Tothill , André van Schaik , Gregory Cohen

As the ubiquity of smart mobile devices continues to rise, Optical Camera Communication systems have gained more attention as a solution for efficient and private data streaming. This system utilizes optical cameras to receive data from…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Hang Su , Ling Gao , Tao Liu , Laurent Kneip

Jitter degrades a spacecraft's fine-pointing ability required for optical communication, earth observation, and space domain awareness. Development of jitter estimation and compensation algorithms requires high-fidelity sensor observations…

Computer Vision and Pattern Recognition · Computer Science 2025-05-20 Samya Bagchi , Peter Anastasiou , Matthew Tetlow , Tat-Jun Chin , Yasir Latif

Because of their high temporal resolution, increased resilience to motion blur, and very sparse output, event cameras have been shown to be ideal for low-latency and low-bandwidth feature tracking, even in challenging scenarios. Existing…

Computer Vision and Pattern Recognition · Computer Science 2026-01-16 Nico Messikommer , Carter Fang , Mathias Gehrig , Giovanni Cioffi , Davide Scaramuzza

Event-based cameras, inspired by the biological retina, have evolved into cutting-edge sensors distinguished by their minimal power requirements, negligible latency, superior temporal resolution, and expansive dynamic range. At present,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Han Wang , Yuman Nie , Yun Li , Hongjie Liu , Min Liu , Wen Cheng , Yaoxiong Wang

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…

Robotics · Computer Science 2022-02-09 Kun Xiao , Guohui Wang , Yi Chen , Yongfeng Xie , Hong Li , Sen Li

Understanding human movement and city dynamics has always been challenging. From traditional methods of manually observing the city's inhabitant, to using cameras, to now using sensors and more complex technology, the field of urban…

Computer Vision and Pattern Recognition · Computer Science 2025-12-15 Jack Brady , Andrew Dailey , Kristen Schang , Zo Vic Shong

This paper investigates trajectory prediction for robotics, to improve the interaction of robots with moving targets, such as catching a bouncing ball. Unexpected, highly-non-linear trajectories cannot easily be predicted with…

Computer Vision and Pattern Recognition · Computer Science 2020-01-16 Marco Monforte , Ander Arriandiaga , Arren Glover , Chiara Bartolozzi

In this work, we present optical space imaging using an unconventional yet promising class of imaging devices known as neuromorphic event-based sensors. These devices, which are modeled on the human retina, do not operate with frames, but…

Computer Vision and Pattern Recognition · Computer Science 2019-11-21 Saeed Afshar , Andrew P Nicholson , Andre van Schaik , Gregory Cohen

Event cameras are bio-inspired vision sensors that naturally capture the dynamics of a scene, filtering out redundant information. This paper presents a deep neural network approach that unlocks the potential of event cameras on a…

Computer Vision and Pattern Recognition · Computer Science 2019-01-21 Ana I. Maqueda , Antonio Loquercio , Guillermo Gallego , Narciso Garcia , Davide Scaramuzza

Event cameras are ideal for object tracking applications due to their ability to capture fast-moving objects while mitigating latency and data redundancy. Existing event-based clustering and feature tracking approaches for surveillance and…

Computer Vision and Pattern Recognition · Computer Science 2022-02-10 Stephanie Aelmore , Richard C. Ordonez , Shibin Parameswaran , Justin Mauger

Pose tracking of uncooperative spacecraft is an essential technology for space exploration and on-orbit servicing, which remains an open problem. Event cameras possess numerous advantages, such as high dynamic range, high temporal…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Zibin Liu , Banglei Guan , Yang Shang , Yifei Bian , Pengju Sun , Qifeng Yu
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