English
Related papers

Related papers: Quantifying Accuracy of an Event-Based Star Tracke…

200 papers

Star trackers are primarily optical devices that are used to estimate the attitude of a spacecraft by recognising and tracking star patterns. Currently, most star trackers use conventional optical sensors. In this application paper, we…

Computer Vision and Pattern Recognition · Computer Science 2019-07-11 Tat-Jun Chin , Samya Bagchi , Anders Eriksson , Andre van Schaik

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

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

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

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

Air-bearing platforms for simulating the rotational dynamics of satellites require highly precise ground truth systems. Unfortunately, commercial motion capture systems used for this scope are complex and expensive. This paper shows a novel…

Robotics · Computer Science 2023-12-14 Fabio Ornati , Gianfranco Di Domenico , Paolo Panicucci , Francesco Topputo

Low latency and accuracy are fundamental requirements when vision is integrated in robots for high-speed interaction with targets, since they affect system reliability and stability. In such a scenario, the choice of the sensor and…

Robotics · Computer Science 2022-05-17 Luna Gava , Marco Monforte , Massimiliano Iacono , Chiara Bartolozzi , Arren Glover

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

Eye tracking is a key technology for gaze-based interactions in Extended Reality (XR), but traditional frame-based systems struggle to meet XR's demands for high accuracy, low latency, and power efficiency. Event cameras offer a promising…

Computer Vision and Pattern Recognition · Computer Science 2024-09-25 Junyuan Ding , Ziteng Wang , Chang Gao , Min Liu , Qinyu Chen

In the context of exoplanet detection, the performance of coronagraphs is limited by wavefront errors. To efficiently correct for these aberrations with a deformable mirror, it is mandatory to measure them using the science detector with a…

Astrophysics · Physics 2009-11-13 R. Galicher , P. Baudoz , G. Rousset

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

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

Event cameras provide a natural and data efficient representation of visual information, motivating novel computational strategies towards extracting visual information. Inspired by the biological vision system, we propose a behavior driven…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Nan Cai , Pia Bideau

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

Photometric stereo is a technique for estimating surface normals using images captured under varying illumination. However, conventional frame-based photometric stereo methods are limited in real-world applications due to their reliance on…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Hyunwoo Kim , Won-Hoe Kim , Sanghoon Lee , Jianfei Cai , Giljoo Nam , Jae-Sang Hyun

Tracking any point (TAP) recently shifted the motion estimation paradigm from focusing on individual salient points with local templates to tracking arbitrary points with global image contexts. However, while research has mostly focused on…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Friedhelm Hamann , Daniel Gehrig , Filbert Febryanto , Kostas Daniilidis , Guillermo Gallego

Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead of capturing images at a fixed rate, they asynchronously measure per-pixel brightness changes, and output a stream of events that encode the time,…

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

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 cameras are a promising candidate to enable high speed vision-based control due to their low sensor latency and high temporal resolution. However, purely event-based feedback has yet to be used in the control of drones. In this work,…

Robotics · Computer Science 2020-03-31 Rika Sugimoto Dimitrova , Mathias Gehrig , Dario Brescianini , Davide Scaramuzza
‹ Prev 1 2 3 10 Next ›