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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

EventDetectR: An efficient Event Detection System (EDS) capable of detecting unexpected water quality conditions. This approach uses multiple algorithms to model the relationship between various multivariate water quality signals. Then the…

Computation · Statistics 2020-11-20 Sowmya Chandrasekaran , Margarita Rebolledo , Thomas Bartz-Beielstein

Event Sequences (EvS) refer to sequential data characterized by irregular sampling intervals and a mix of categorical and numerical features. Accurate classification of these sequences is crucial for various real-life applications,…

Machine Learning · Computer Science 2025-02-27 Dmitry Osin , Igor Udovichenko , Viktor Moskvoretskii , Egor Shvetsov , Evgeny Burnaev

Event cameras are sensors of great interest for many applications that run in low-resource and challenging environments. They log sparse illumination changes with high temporal resolution and high dynamic range, while they present minimal…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Alberto Sabater , Luis Montesano , Ana C. Murillo

Event cameras promise a paradigm shift in vision sensing with their low latency, high dynamic range, and asynchronous nature of events. Unfortunately, the scarcity of high-quality labeled datasets hinders their widespread adoption in deep…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Kaustav Chanda , Aayush Atul Verma , Arpitsinh Vaghela , Yezhou Yang , Bharatesh Chakravarthi

The advent of event-based cameras, with their low latency, high dynamic range, and reduced power consumption, marked a turning point in machine perception and robotic vision. In~particular, the combination of these neuromorphic sensors with…

Robotics · Computer Science 2026-05-28 Nafiseh Jabbari Tofighi , Maxime Robic , Fabio Morbidi , Pascal Vasseur

Event cameras record sparse illumination changes with high temporal resolution and high dynamic range. Thanks to their sparse recording and low consumption, they are increasingly used in applications such as AR/VR and autonomous driving.…

Computer Vision and Pattern Recognition · Computer Science 2024-01-24 Alberto Sabater , Luis Montesano , Ana C. Murillo

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,…

Lossy compression and rate-adaptive streaming are a mainstay in traditional video steams. However, a new class of neuromorphic ``event'' sensors records video with asynchronous pixel samples rather than image frames. These sensors are…

Image and Video Processing · Electrical Eng. & Systems 2025-08-22 Andrew C. Freeman

Recent advancements in IoT technologies have underscored the importance of using sensor data to understand environmental contexts effectively. This paper introduces a novel embedded system designed to autonomously label sensor data directly…

Machine Learning · Computer Science 2024-07-17 Tianheng Ling , Islam Mansour , Chao Qian , Gregor Schiele

By monitoring temporal contrast, event-based vision sensors can provide high temporal resolution and low latency while maintaining low power consumption and simplicity in circuit structure. These characteristics have garnered significant…

Instrumentation and Detectors · Physics 2025-02-11 Xinyue Qin , Junlin Zhang , Wenzhong Bao , Chun Lin , Honglei Chen

The flourish of web-based services gave birth to the research area \textit{services computing}, a rapidly-expanding academic community since nearly 20 years ago. Consensus has been reached on a set of representative research problems in…

Computers and Society · Computer Science 2021-06-18 Zhongjie Wang , Mingyi Liu , Zhiying Tu , Xiaofei Xu

With the increasing complexity of mobile device applications, these devices are evolving toward high agility. This shift imposes new demands on mobile sensing, particularly in achieving high-accuracy and low-latency. Event-based vision has…

In a power distribution network with energy storage systems (ESS) and advanced controls, traditional monitoring and protection schemes are not well suited for detecting anomalies such as malfunction of controllable devices. In this work, we…

Signal Processing · Electrical Eng. & Systems 2021-02-26 Nayara Aguiar , Vijay Gupta , Rodrigo D. Trevizan , Babu R. Chalamala , Raymond H. Byrne

Event-based semantic segmentation (ESS) is a fundamental yet challenging task for event camera sensing. The difficulties in interpreting and annotating event data limit its scalability. While domain adaptation from images to event data can…

Computer Vision and Pattern Recognition · Computer Science 2024-05-09 Lingdong Kong , Youquan Liu , Lai Xing Ng , Benoit R. Cottereau , Wei Tsang Ooi

Process management and process orchestration/execution are currently hot topics; prevalent trends such as automation and Industry 4.0 require solutions which allow domain-experts to easily model and execute processes in various domains,…

The proliferation of digital interactions across diverse domains, such as healthcare, e-commerce, gaming, and finance, has resulted in the generation of vast volumes of event stream (ES) data. ES data comprises continuous sequences of…

Machine Learning · Computer Science 2026-01-06 Levente Zólyomi , Tianze Wang , Sofiane Ennadir , Oleg Smirnov , Lele Cao

Event cameras are an interesting visual exteroceptive sensor that reacts to brightness changes rather than integrating absolute image intensities. Owing to this design, the sensor exhibits strong performance in situations of challenging…

Computer Vision and Pattern Recognition · Computer Science 2024-08-05 Runze Yuan , Tao Liu , Zijia Dai , Yi-Fan Zuo , Laurent Kneip

The neuromorphic event cameras, which capture the optical changes of a scene, have drawn increasing attention due to their high speed and low power consumption. However, the event data are noisy, sparse, and nonuniform in the…

Computer Vision and Pattern Recognition · Computer Science 2021-03-23 Chang Liu , Xiaojuan Qi , Edmund Lam , Ngai Wong

The shift toward IoT-enabled, sensor-driven systems has transformed how operational data is generated, favoring continuous, real-time event streams (ES) over static event logs. This evolution presents new challenges for Streaming Process…

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